A Research Associate position is currently available in the Earth Observatory of Singapore (EOS).

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. It is also placed 1st amongst the world’s best young universities. The EOS at NTU Singapore is a national science Research Center of Excellence. Its mission is to conduct fundamental research on earthquakes, volcanic eruptions, tsunami and climate change in and around Southeast Asia, toward safer and more sustainable societies.

The Air Pollution and Health team's research of Prof. Steve Yim focuses on the interactions between climate and air quality, and the resultant impacts on public health and ecosystem. The team's ongoing research is to develop, advance and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and evaluate the impacts on human exposure, mosquito abundance and soil acidity.

Particular interests are in investigating air quality impacts of sectoral emissions and transboundary air pollution at multiple spatial scales, studying regional climate change due to land-use changes and global climate change, and evaluating and quantifying the effects of air pollution on respiratory and cardiovascular diseases. The team also assesses and develops emission control scenarios to provide scientific-based policy solutions for a sustainable environment in present and future years.

Key Responsibilities:

• Assess the association between interstitial lung diseases (ILD) and air pollutants in Southeast Asia
• Develop a prediction system to forecast air quality and the risk of ILD with group members
• Work on the data collection, processing, and analyses
• Help in the ground-level observations of air quality in Singapore using LiDARs. Document the results in reports
• Complete tasks that his/her supervisor assigns

Job Requirements:

• Master degree in atmospheric science/geography/meteorology/environment/ epidemiology
• Experience in statistics and basic programming such as using R or python, etc
• Evidence of excellent English language and communication skills is essential to conduct research
• Evidence of independence in research direction and team spirit

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

We regret to inform that only shortlisted candidates will be notified.

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between University of Cambridge, Nanyang Technological University and National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

Who are we looking for?

We are looking to fill research position in maritime decarbonisation modelling:

Computational Fluid Dynamics simulations of ammonia and methanol engines will be performed, leading to a better understanding of the pollutant-generation processes. In addition to excelling in handling turbulent combustion theory Extensive, experience in combustion CFD is necessary.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-c4t-cn14. If you have any questions, please feel free to reach out to the HR team at [email protected].

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies. CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences, the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore and transfer these solutions to Southeast Asia (SEA) and beyond. As part of this programme, Cross Cutting Theme 2: Satellite Remote Sensing will map and monitor the impact and solutions of climate change in Southeast Asia region.

The Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS) at Nanyang Technological University in Singapore invites applications for a Research Fellow / Scientist / Engineer to support CTP Cross Cutting Theme 2 (Satellite Remote Sensing). The EOS-RS teams’ research covers SAR, multi/hyper-spectral remote sensing, LiDAR, and GNSS data for disaster response and hazard monitoring for earthquakes, volcanoes, and impacts of climate change.

EOS is a University Research Institute at Nanyang Technological University that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg.

EOS-RS and CTP welcomes applications from qualified candidates who have interests and expertise relevant to the use of remote sensing for mapping, monitoring, and understanding the causes and effects of climate change. We are particularly interested in candidates who have expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning to InSAR and other remote sensing observations.

Successful candidates will have a Master’s/PhD in a relevant field (e.g., earth science, electrical engineering, image processing, and deep learning), expertise in processing and modelling geodetic data using open-source analysis tools, an ability to apply AI/ML techniques to remote sensing data; and demonstrated track record of impactful research or projects in topics related to the position. They will also have strong English and communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value.

Additionally, the successful candidate will be part of the large and interdisciplinary research teams at EOS, the Asian School of the Environment (ASE), and the School of Electrical and Electronic Engineering (EEE), helping to develop algorithms and systems for disaster mapping and climate change in collaboration with space industries and responding agencies around the world. They will collaborate with the geodesy group and many other groups at EOS/ASE.

Key Responsibilities:

• Architect and develop InSAR-based remote-sensing solutions and capabilities grounded in current research to address needs of scientists and external stakeholders
• Coordinate and manage application development and experimentation efforts across projects and synergies
• Conduct feature experimentation and develop applications both independently and in a team
• Help to mentor Research Assistants/Associates

Job Requirements:

• Master’s/PhD in Earth science, geophysics, geodesy, physics, electrical engineering, natural hazards, computer science, machine learning, or a related field.
• Demonstrated expertise in processing SAR data (with open-source tools such as ISCE or GMTSAR) for surface deformation measurement and change mapping.
• Strong technical skills in data processing for remote sensing applications; experience in optimizing and implementing automated processing pipelines (in cloud, HPC environments) for multi-modal, large remote-sensing datasets for machine and deep learning desired.
• Evidence of the ability to write and present at the level required for peer-reviewed scientific journals and international conferences, which will usually be in English.
• Evidence of independence in research direction and team spirit.

Interested applicants should submit a CV, list of publications, research statement, diversity and inclusivity statement, and the names and contact information for three referees. For additional information please email Assoc. Prof. Sang-Ho Yun at [email protected]. Applications will be reviewed on an ongoing basis.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

We regret to inform that only shortlisted candidates will be notified.

Job description

The National University Health System Virtual Care Centre (NUHS VCC) is an initiative where trained personnel provides tele-triage to patients and/or their caregivers. VCC will either provide advice and resolve the clinical question or escalate to the VCC clinician where appropriate. To facilitate the development and evaluation of VCC at NUHS a research team has been established. This team is now looking for a research assistant/associate with experience of conducting research projects to join the group. The successful candidate will support research fellow on the evaluation of VCC.

Primary Responsibilities

1. Assist in designing and implementing research-related tasks.
2. Assist in recruiting and coordinating research participants
3. Help with data entry, cleaning, and management
4. Assist in collecting and analysing data from various sources
5. Conduct literature reviews and summarize findings
6. Assist in developing research papers, reports, and presentations
7. Maintain accurate and organized records of research data and findings

Secondary Duties

1. Attend VCC-related meetings
2. Collaborate with the research team to achieve project goals
3. Assume additional responsibilities as assigned by the reporting officer/HOD.

Job Requirements

1. Master and/or Bachelor's degree in a relevant field (e.g. social sciences, psychology, biology)
2. Minimum 2-4 years of experience in hospital research is a plus.
3. Ability to work independently, and communicate effectively in English, both verbally and written.
4. Experience of applying for ethical review would be an advantage
5. Ability to maintain confidentiality and adhere to ethical research standard.
6. Driven and motivated, with potential to achieve research excellence.
7. Ability to generate experimental results leading to high impact publications.
8. Multi-lingual preferable

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key duties

• Reviews patients periodically to assess their progress and to ensure that high quality care has been provided and to ascertain patients’ needs for additional care / services
• Provides supervisory consultation and support to her staff
• Attends meeting and participates in committees as assigned
• Audits staff regularly to keep track of key performance indicators (KPIs) of the department and ensure conformity. To help with review KPIs periodically and if necessary to set new KPIs to improve nursing standards.
• Assist in managing the ward roster ensuring that there is an adequate staff on duty at all times.
• Takes corrective and preventive actions where necessary to eliminate or minimize the cause of existing or potential critical quality problems identified.
• Audits patients’ case notes and nursing documentation to ensure that records are up to date and in line with the legal requirements for documentation.
• Implements and monitors infection control practices and procedures and ensures that the staff understands and follows these policies and procedures strictly.

Requirements:

• Degree in Nursing with at least 6 years of experience in clinical and supervisory role
• Proven experience in managing multi-disciplinary ward
• Ability to commence work immediately is an added advantage
• Must be registered with Singapore Nursing Board

COMPANY DESCRIPTION

Since October 2011, Thye Hua Kwan Moral Charities (THKMC) was incorporated as a charity with an IPC status to provide multiple social and welfare services to the community at large.

THKMC provides assistance to the various groups in our community through more than 60 programmes and services for the elderly and the sick, families, persons with disabilities, and children. We help anyone in need with full respect to their race, colour, creed, language, culture and religion. We have more than 90 programmes and services, reaching out to more than 55,000 people in the community.

Together, as ONETHK Empowering the Community.

RESPONSIBILITIES

• Assist in clinical assessments and procedures to detect, manage, and meet our residents' physical, medical & psychosocial needs
• Work closely with a dynamic multi-disciplinary team to provide co-ordinated and purposeful nursing care to meet rehabilitative and treatment needs of residents
• Engage with residents, relatives & community partners in care planning discussions.
• Provide orientation, guidance, mentoring and coaching to new or less experienced nurses
• Assist RNs in medication administration & management
• Additional responsibilities as directed by RNs or management
• Assist in residents' activities of daily living (ADL)

• NITEC in Nursing from ITE

• Ability to speak local languages and dialects will be an advantage
• Active team player with strong initiative and good communication skills
• Able to perform rotating shift
• Work location: Islandwide - Chai Chee / Eunos /Sembawang

Job Opportunity: Data Analyst – Hospital and Community Transitional Care Models (HCTCM)

Overview
To support the custodians of the Hospital and Community Transitional Care Models (HCTCM) databases. Help analyze and draw insights from data extracted from clinical databases to improve health services research and quality care.

Key Responsibilities

• Collaborate with clinical leads to evaluate HCTCM projects.
• Support data collection on patient-reported outcomes and costs for full care cycles.
• Lead database management for program evaluations, including data extraction and aggregation.
• Ensure compliance with local laws, policies, and standards.
• Provide operational support to the Assistant Director and Project Manager.
• Handle grant-related documentation and progress reports.

Requirements

• Postgraduate/Bachelor’s Degree in Biomedical Sciences, Sociology, Engineering, or Healthcare.
• Strong communication and interpersonal skills.
• Proficient in statistical and data management.

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Process Systems Engineering and Machine Learning (AI) for Chemical Engineering. The ideal candidate would have experience in developing first principle process models in Matlab/gPROMS or Python, process optimization, machine learning for chemical processes.

What skills do you have?

Working with chemical process data. Understanding process design, process optimization. Coding in Python. Developing ML workflows.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-process-system-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Job Opportunity: Data Analyst – Hospital and Community Transitional Care Models (HCTCM)

Overview
To support the custodians of the Hospital and Community Transitional Care Models (HCTCM) databases. Help analyze and draw insights from data extracted from clinical databases to improve health services research and quality care.

Key Responsibilities

• Collaborate with clinical leads to evaluate HCTCM projects.
• Support data collection on patient-reported outcomes and costs for full care cycles.
• Lead database management for program evaluations, including data extraction and aggregation.
• Ensure compliance with local laws, policies, and standards.
• Provide operational support to the Assistant Director and Project Manager.
• Handle grant-related documentation and progress reports.

Requirements

• Postgraduate/Bachelor’s Degree in Biomedical Sciences, Sociology, Engineering, or Healthcare.
• Strong communication and interpersonal skills.
• Proficient in statistical and data management.

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow or a Senior Research Fellow. The successful candidate would have a PhD in Chemistry or Chemical Engineering with a strong interest in Machine Learning (AI) for Chemistry and Chemoinformatics. The ideal candidate would have experience in working with chemical databases, developing machine learning workflows based on chemical data for synthesisor properties prediction. The successful candidate would have good understanding of machine learning methods and have experience of coding in Python.

What skills do you have?

Working with chemical data. Coding in Python. Working with different types of data. Working with chemistry related ML tools.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemical-engineer-ai-chemoinformatics-for-sm3-al. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Alexei Lapkin ([email protected]).

Senior Laboratory Analyst

• Singapore Based (Jurong Island - Company transport provided near Jurong East MRT)
• Monday to Friday: 8 am to 4.30 pm
• Salary: S$ 2,800 - 3,200 + Site allowance

Responsibilities:

• Perform raw material, intermediate and final product Quality analysis.
• Interpret and report test results accurately and timely based on test method.
• Supports troubleshooting technical issues pertaining to equipment and analysis.
• Support establishment and maintenance of lab system and equipment validation and calibration.
• Maintenance of quality document and development of quality procedures.
• Provide training to Laboratory Analysts and Process Technicians in analysis instrument procedures.
• Manage and maintain chemicals, reagents, and consumables.
• Support Procurement process and upkeep of inventory.
• Implement and improve analytical and equipment work process.
• Implement and participate in safety and quality improvement activities.
• Other works as assigned by Superior.

Requirements:

• Diploma in Chemical Process Technology or Science related field.
• Min 5 years experience in analytical laboratory environment.
• Hands-on experience with GC, ICP, Titration and polymer testing equipment
• Hands-on experience with equipment calibration and reagent preparation.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is looking for applicants for research engineer positions to support 3D-IC package fault localisation and failure analysis (FA) techniques with ANSYS High Frequency Structure Simulator (HFSS). The applicant will work closely with our researchers to understand and derive insights from scientific experiments and data. The applicant will also assist in the design and development of a physical test vehicle for the measurement of simulated results.

Responsibilities will include:

1. Contribute to defect classification and localization through simulation defect modelling.
2. Involve in 3D-IC forward predictive modelling (i.e. include chip and circuit blocks) by generating training materials.
3. Design of mock IC test vehicles for high frequency electromagnetic and DC magnetic field measurement and testing.

Qualifications

• A bachelor’s or higher Degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, FA and strong in data analysis will have advantage. Knowledge of AI/ML/DL development and ANSYS/TCAD modelling.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Analysis: Conduct data analysis to extract valuable insights from healthcare operational data, including patient records, resource allocation, and process efficiency. Employ statistical methods and data visualization techniques to support research objectives.
• Mathematical Modeling: Develop and apply mathematical models to simulate healthcare operational processes, optimizing resource allocation, patient flow, and overall efficiency.
• Programming: Utilize programming languages such as Python, R, or other relevant tools to automate data analysis processes and create software tools for data manipulation and modeling. Utilize programming languages such as MATLAB and Julia, through GUROBI, CPLEX and other optimization solvers to solve the optimization models.
• Research Support: Assist in designing and executing research discussions. Contribute to literature reviews and research proposal development.
• Reporting: Prepare reports, presentations, and visualizations of research findings and insights for internal and external stakeholders. Effectively communicate complex data-driven information.
• Collaboration: Collaborate with the project team, including researchers, clinicians, and administrators, to ensure the project's goals are met. Actively participate in project meetings and contribute to a multidisciplinary approach.

• Possess a Ph.D. degree or equivalent in Data Science, Operations Research, Mathematics, Computer Science, or a related Management Science discipline.
• Exhibit a robust academic and research portfolio demonstrating experience in advanced data analytics and optimization. This includes a track record of engagement with research projects that have culminated in contributions to peer-reviewed conference proceedings or journal publications (either published or under review).
• Evidence of applied analytical skills, such as the development of novel methodologies or the implementation of optimization models in practical settings, will be highly regarded.
• Demonstrate a capacity for critical thinking, a propensity for innovation in problemsolving, and the ability to synthesize complex information into actionable insights.
• A commitment to ongoing professional development and collaboration within interdisciplinary teams is essential.
• Data Analytics: Proficiency in data analytics, including data cleansing, data manipulation, statistical analysis, and data visualization using tools such as Python, R, or related software.
• Mathematical Modeling: Strong mathematical modeling skills, with the ability to create and apply models for healthcare operations optimization.
• Programming: Proficiency in Python or R, to automate data analysis and create modeling tools. Proficiency in MATLAB and Julia, to solve the optimization models. Proficiency in optimization solvers such as GUROBI and CPLEX.
• Research Skills: Familiarity with research methodologies, literature review, and data collection techniques.
• Healthcare Operations Knowledge: A solid understanding of healthcare operations, including resource allocation, and process optimization. Experience in participating in healthcare management research projects.
• Communication: Excellent communication skills to convey complex data-driven insights to a diverse audience.
• Problem-solving: Strong problem-solving abilities to address research challenges and make data-driven recommendations.
• Teamwork: The ability to work effectively in a team, collaborate with cross-functional stakeholders, and contribute to a multidisciplinary approach.

#LI-KC1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Collect data through web crawling and/or crowdsourcing.
• Implement baseline methods based on previous research papers.
• Implement new methods to improve the performance of large language models.
• Conduct experiments to empirically evaluate different methods.
• Contribute to the preparation of manuscripts for publication.

• Minimum PhD degree in computer science, Information Technology, Information Systems or closelyrelated disciplines.
• Relevant experiences in video processing, analysis, and research.
• Relevant experiences in developing systems for video computing.
• Excellent knowledge in large-scale video processing and search.
• Excellent knowledge and experience in system development and engineering.
• Good skill in computer programming.
• Good knowledge in dataset curation and preparation of dataset for deep learning.
• Self-motivated individual who can work independently as well as collaboratively in a team to researchand engineer challenging problems.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Training of neural networks using cooking videos and cooking recipes for cross-modal retrieval.
• Training of neural networks for cross-domain food-to-image retrieval.
• Experiment setup and analysis.

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines.
• Relevant experiences in food computing (e.g., food image recognition, recipe retrieval, cross-domain food image retrieval).
• Excellent knowledge in food computing.
• Good knowledge AI and large language models.
• Good skill in computer programming.
• Good knowledge in dataset curation and preparation of dataset for deep learning.
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems.

#LI-JN2

Mobile Nurse | Home care | Up to $5.5k | 4 Days | Telok Ayer

$3,500 to $5,500
Telok Ayer

44 hours/ week, 4-day work week (12-hour shifts, usually 8am-8pm, no night shifts).

Job Responsibilities

• Performing prompt and quality nursing care to patients
• Assisting physician in procedures and consultations
• Attending patients’ overall needs
• Taking of vitals and charting
• Following up on patient care and treatment
• Readily develop rapport with patients, staff and physician
• Preparing equipment and support physician during treatments
• Ad-hoc duties as assigned by supervisor

Job Requirements

• Singapore Nursing Board registered nurse with 1 – 4 years of nursing experience
• Must have valid BCLS and AED certification
• Preferably have A&E ward experience
• Able to commit shift hours including weekends and public holidays
• Willing to travel when being deployed

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

To lead the nursing team and related healthcare workers in the ward, and be responsible for the day-to-day operational work flow in the Nursing Department.

• Is responsible for the compliance of all nursing standards as stipulated by MOH and SNB.
• Leads quality assurance activities to monitor and evaluate the quality and appropriateness of nursing care. Ensures quality audits and planned and conducted periodically. Follow up with areas of corrective improvements.
• Ensures written policies and procedures and work process are available and up to date to guide the provision of nursing care.
• Monitor the smooth transition of the residents from acute to chronic care and back to the community, where possible.
• Direct care of the residents to ensure compliance to standards.

Job Requirements:

• Diploma / Degree in Nursing
• Registered Nurse with Singapore Nursing Board
• At least 2 years relevant experience in surpervisory roles
• Good public relations and communication skills
• Proficient in Microsoft Words, Excel, Power Point and Outlook
• 5 days work week on roster

Check out http://abercare.sg/jobs-vacancies/ for more details

Interested applicants may email your updated resume to [email protected].

Abercare.sg | EA License No. 18C9070 | KOH SU WEN, CLARISSA| Registration No. R24119504

Staff Nurse

• Location: Pasir Panjang
• Working timing : 44 hours (office hours)
• 5.5days (to be discuss)
• 8am to 4pm || 9am to 5pm || Sat 9a to 1pm
• $2,800 - $3,800

Job Responsibilities:

• Perform patient assessment.
• Coordinate patient care and provide quality nursing care for an assigned group of patients.
• Demonstrate competency in clinical nursing skills and knowledge
• Provide patient education for family members.
• Record and maintain proper accurate documentation of patient's progress.
• Assists doctors and attend to emergency calls whenever necessary.
• Perform appropriate interventions for effective patient's outcomes.
• Manage and monitor medical supplies, equipment and consumables inventory
• Practise safety and infection control precautionary measures
• Participate in patients' rehabilitation, involving the patients' family.
• Manage rendered in the notes, medication records and charts of patients.
• Participate in medical emergencies or crisis situations as appropriate.

Job requirements

• Diploma in nursing , SNB registered
• With relevant experience

Whatsapp +6588278652 (Hym)

Goh Hym Yien Reg No: R24121939

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The Research Fellow responsible for performing intelligent visual signal processing/compression/computing.

Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research performed

Key Responsibilities:

• To perform the pioneer research in exploring visual signal representation towards machine uses.
• To perform systematic investigation into the characteristics of visual signal representation for machine uses, to meet the emerging requirements for AI.
• To devise a new scheme for visual signal representation with deep-learnt visual features, toward machine uses.
• To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization.
• To formulate a comprehensive visual feature codec for machine uses.
• To set up and analyze experiments and datasets under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of reports/papers and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students

Job Requirements:

• Possess a PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good experience and track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis.
• Prior research experience and track record in R&D and standardization.
• Prior experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, C, Matlab, …)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Join Our Team at the Asian School of the Environment (ASE), Nanyang Technological University, Singapore

The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

ASE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.