Job Description

• Monitor patients and take vital signs
• Provide basic wound care and administer medication
• Document patient information
• Counsel patients and their families
• Prepare reports and refer patients to specialists if needed
• Complete other assigned tasks as required

Requirement

• Nitec in Nursing
• Valid SNB

If you are interested in the position, do kindly drop your most updated resume to [email protected]

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Job Title: Staff Nurse (Day Ward)
Location: Bishan
Salary: Up to $3.8K
Working Hours:

• 42 hours per week
• 6 days a week (Monday to Saturday)
• Sunday is a permanent off day
• Shift timings:
• AM Shift: 7:00 AM to 2:45 PM
• PM Shift: 2:00 PM to 9:45 PM

Job Description:

Looking for Staff Nurse to join Day Ward team. You will provide direct patient care for individuals undergoing day procedures, offering pre- and post-operative care in a fast-paced, patient-focused environment.

Key Responsibilities:

• Patient Care: Administer medications, monitor vital signs, and provide post-operative care.
• Pre-Operative Support: Prepare patients for procedures, explain processes, and ensure comfort.
• Post-Operative Care: Monitor recovery, manage pain, and educate patients on discharge instructions.
• Collaboration: Work closely with the medical team to ensure coordinated care.
• Documentation: Maintain accurate patient records and ensure safety protocols are followed.

Job Requirements:

• Education: Diploma/Degree in Nursing, SNB Registered.

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

Job Scope:

• Front-Line Service:

• Assesses, plans, implements, and evaluates clinical care for patients under his/her care.
• Collaborates and co-operates with the physicians and other health-care personnel for a smooth delivery of patient care.
• Any other duties as delegated by the department Reporting Officer.

Email: [email protected]

Whatsapp: 96503173

Telegram: @jesswongie

Jessie Wong Yuan Si

Personnel EA License No.: R2197171

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Are you a dedicated Nurse Manager with a passion for Obstetrics & Gynecology (O&G)? Join a prestigious healthcare organization in the heart of the city!

What You’ll Do:

• Lead and oversee nursing operations within the O&G department
• Ensure high standards of patient care and safety
• Manage, train, and support a team of skilled nurses
• Collaborate with multidisciplinary teams for optimal patient outcomes
• Drive improvements in clinical practices and operational efficiency

What We’re Looking For:

• Registered Nurse with O&G experience
• Proven leadership and team management skills
• Strong communication and organizational abilities

Why Join Us?

• Convenient central location
• Office hours with a 5.5-day workweek
• Attractive salary and benefits package

Job Requirements:

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Key Responsibilities:

• To develop and setup the technique fs laser direct-write and optical cavity integration.
• To setup and align optical beamlines/setups for home-built micro-transient optical spectroscopy experiments.
• To conduct micro-transient absorption spectroscopy studies on the measurements of carrier diffusion length.
• To perform data analysis and data interpretation of micro-transient optical spectroscopy experiments independently.
• To assist the principal investigator with the writing of research papers.

Job Requirements:

• Candidate must possess at least a Master Degree in Physics or Chemistry or Chemical Sciences.
• In addition to Master degree, candidate must possess at least a BSc 1st Class/2nd Class Upper Honours Degree in Physics or Chemistry or Chemical Sciences or nanomaterials and nanotechnology.
• Candidate will be tasked to prepare perovskite nanomaterials and conduct ultrafast optical spectroscopy studies on them.
• He/She is also required to perform data analysis and data interpretation.
• Excellent knowledge in chemical synthesis, optics, photophysics of semiconductors, charge and quasi-particle dynamics, charge transfer mechanisms, femtosecond lasers, and femtosecond laser spectroscopy is essential. A written and oral test of the candidate’s technical competency of femtosecond lasers, photophysics concepts, and ultrafast optical spectroscopy basics will be conducted during the interview.
• Excellent knowledge in the optical characterization of semiconductor materials (including nanostructures) which includes transient spectroscopy (pump-probe, time-resolved PL), and material characterizations (XRD, AFM, GIWAXS/GISAXS).
• Critical Requirement: Candidate must have a Minimum 3 Years of Research Experience in Ultrafast Lasers and Ultrafast Laser Spectroscopy of semiconductor materials.
• Critical Requirement: Candidate must also have a Minimum 3 Years of Research Experience in the study of photophysics in semiconductor systems.

The College of Science 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.

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

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Centre for Urban Solutions (CUS) is a research centre under the School of Civil and Environmental Engineering (CEE). The vision of the centre is to become a world leader in innovative solutions and technologies for urban centres and built environment. It aims to provide leadership in research and development in innovative solutions for sustainable living and infrastructures for future cities.

For more details, please view https://www.ntu.edu.sg/cus

We are looking for a Research Fellow who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively for developing innovative low-carbon soil improvement techniques. The position is expected to perform independent and collaborative research on the fundamental engineering properties of the biocemented soils.

Key Responsibilities:

• Conducting research on advanced laboratory soil testing and other related research work
• Producing project progress reports and papers with the quality matching high factor impact journals
• Assisting in the development of research proposals that could be funded externally.
• Collaborating with other team members on other research tasks in the Centre.

Job Requirements:

• PhD in geotechnical engineering or related discipline
• Expertise in advanced laboratory soil mechanics testing
• Knowledge in advanced soil mechanics, advanced soil testing and biocementation based ground improvement
• At least 2 years of relevant experiences in advanced soil mechanics and biocementation
• Familiarity with triaxial test, small strain hollow cylinder soil test and other soil engineering property laboratory test
• Good written and oral communication skills
• Ability to work independently and develop solutions under strict timelines
• Ability to work collaboratively in a fast-paced environment.

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

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

About Healthcare Support Department:

Healthcare Support Department supports frail/home-bound elderly in their healthcare needs so that they can remain to age well at the comfort of their homes and in the community. The department understands the challenges faced in taking care of elderly at home. They ensure there is continuity of care integrating healthcare and social support whenever necessary so that caregivers and their loved ones will be well-supported and enjoy good care at the same time.

Responsibilities:

• Nursing Assessment, developing individual careplan, monitoring and evaluation
• Assess, monitor, review care needs of client and caregiver
• Develop individualised care plan and identify types, duration and frequency of services
• Monitor client’s response to services and evaluate progress towards goals.
• Able to perform nursing procedures such as wound care, tube change, medication management and initiate medical care interventions where necessary
• Provide health education for the client and caregiver
• Provide caregiver’s training for the client’s caregiver
• Manage acute and chronic medical conditions in consultation with a doctor

Requirements:

• Minimum a Diploma in Nursing, at a local tertiary institution
• Minimum 1 year experience in nursing
• Registered with Singapore Nursing Board
• Possesses a valid certification in Basic Cardiac Life Support (BCLS)
• Good communication & interpersonal skills
• This position is on contract basis, with normal office working hours

Work Location: Buangkok Green

Interested applicants are to submit their resume to [email protected]. Please visit www.fycs.org for more details.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

The successful applicant will be involved in a multidisciplinary and collaborative research study on the built environment and mental well-being. He/She will investigate how the urban environment, such as neighbourhood design, heat stress and noise pollution, can influence the positive and negative aspects of mental well-being in families. The candidate will also be involved in longitudinal cohort studies and collaborations with clinicians and researchers from a wide range of disciplines.

1. Data management and analysis of data
2. Combine a thorough examination of the literature with study results to answer scientific questions and hypothesis
3. Assist with preparation of scientific publications, data reports, grants and presentations
4. Perform measurements, collection of data and samples as well as field and experimental work
5. Assist with other administrative duties

Job requirements

• Degree in Biomedical Sciences, Bioinformatics, Architecture, Statistics, Geography, Real Estate, Urban Planning or a closely related field
• No experience required or applicants with relevant project experience are welcome
• Highly self-motivated with excellent communication and writing skills.
• Proficient in Microsoft Office and statistical program.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Previous experience with geospatial analysis, managing and analyzing data sets and/or in bioinformatics will be preferred.

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.

Duration: 1 year

Location: Pioneer

Working Hours: Monday - Thursday 830am to 545pm; Friday 830am to 515pm

Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

Should you be interested in this position, please contact Mandy at 9640 2934 your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

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

As a Research Assistant in Urban Planning Algorithms, you will be responsible for developing innovative algorithms and formulations to address complex urban planning problems. You will work closely with urban planners, data scientists, and other stakeholders to understand the practical constraints and challenges faced in urban planning. Your role will involve:

• Developing and refining algorithms and mathematical formulations to solve urban planning problems, such as traffic flow optimization, land use allocation, and resource distribution.

• Analyzing and interpreting data from various sources, including geospatial data, demographic information, and transportation networks, to inform algorithm development.

• Collaborating with interdisciplinary teams to ensure that algorithms are practical, scalable, and aligned with the goals of urban planners

• Implementing and testing algorithms using appropriate software tools and programming languages, such as Python or R.
• Documenting your work and presenting findings to stakeholders, including urban planners, policymakers, and the public.

Qualifications

To be successful in this role, you will need to have a strong background in computer science, mathematics, or a related field, with a focus on algorithm development and optimization. Additional qualifications include:

• Proficiency in developing and refining algorithms and mathematical formulations to solve complex problems.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Proficiency in programming languages such as Python, MATLAB, or R, and experience with software tools for algorithm implementation and testing.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and present findings effectively.
• A commitment to collaborative work and the ability to work effectively in interdisciplinary teams.
• A Bachelor’s degree in Computer Science, Mathematics, Operations Research, or a related field

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

The Assistant Manager (Research Quality Officer) will assist the Research Director to establish and promote a safe and high-quality research culture in KK Women’s and Children’s Hospital (KKH).

Job Scope:

• Conduct audits and oversee the KKH Research Audit Framework.
• Conduct study monitoring (if any) and oversee the KKH Research Monitoring Framework.
• Responsible for review of current research policy and procedures and work instructions pertaining to hospital requirements, PDPA, HBRA, Medicines (Clinical Trials) Act and Health Product Act, etc.
• Assist in various kinds of external audit and inspection, if any.
• Oversee quality management of research projects at KKH.
• Organize and conduct regular sharing sessions or training workshop for KKH research community.

Job Requirements:

• Degree in Nursing, Life Science or related discipline.
• Minimum 8 years' site coordinator experience or minimum 6 years’ clinical research/pharmacovigilance monitoring/audit experience.
• Advanced knowledge of trial procedures and regulatory requirements in managing clinical trial.
• Proven ability to conduct quality assurance quality control, internal and external audits in clinical trial process.
• Possess good people’s management skills.
• Advanced computer skills e.g., MS Office Word and Excel.
• Good presentation, training and teaching skills.
• Good time management skills with good multi-tasking capabilities.
• Candidate with CITI, ICH-GCP, professional accreditation by ACRP or SOCRA will be an added advantage.

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES.

HD4 sits at the heart of Singapore’s global research and development hub and paves the way for a sustainable and healthy city. It will undertake research in the following key areas: characterising the features of the environment that potentially impact health in Singapore; understanding the links between environmental factors, individual behaviour and health outcomes; observing the impact of environmental change on health in Singapore; simulating the impact of potential changes on the health of Singaporeans; and working with government agencies to co-develop data-rich public health tools.

The scientific techniques, technologies, tools and most importantly the knowledge gained through the programme will create a comprehensive systems view of how the urban environment affects population health in Singapore. The programme will train and enrich the talent pool of next generation of researchers, and benefit from local and international expertise and an innovative interdisciplinary research ecosystem. It will provide the basis for a data-rich public health framework, supporting the development of a healthy Singapore.

Who are we looking for?

We are seeking a highly skilled and motivated Transport Modeller to join our project, HD4. Working collaboratively with a team of population health scientists, geospatial scientists, and data engineers, the post holder will lead on building an agent-based simulation model for Singapore. This role requires a multi-skilled individual that can work collaboratively in a multidisciplinary team environment.

Key Responsibilities:

· Collaboration: Work closely with researchers to understand the data needs of the programme and contribute to the design of scientifically robust and policy relevant models linking transport, the built environment, and health outcomes

· Data synthesis: Collaborate with the data engineer and geo-spatial scientists to run simulations within a temporally and spatially detailed network

· Model building: Build operational agent based behavioural models covering vehicle ownership, trip generation, mode choice, destination choice, and route choice for diverse population groups.

· Validation: Ensure model robustness through checking, calibration, and validation.

· Support: Provide technical support and training to researchers.

· Documentation: Create and maintain comprehensive documentation for model development. Support project reporting.

· Innovation: Stay updated with the latest advancements in transport modelling to incorporate new technologies and methodologies.

What skills will you need?

· Education: PhD degree in a relevant field.

· Experience: Proven experience in agent-based transport modelling.

· Skills:

1. Expertise in econometric travel behaviour modelling
2. Practical experience of simulation model building, calibration, and validation
3. Understanding of land use transport interaction models
4. Experience with agent-based network assignment models such as MATSim
5. Proficiency with spatial analysis tools, databases, and libraries (e.g., PostGIS) and programming languages (e.g., Python, R) for GIS applications.
6. Proficiency in programming languages such as Java.
7. Interest in built environment influences on health behaviours and exposures and health disparities
8. Experience of working with at least one health related pathway e.g. air pollution, physical activity, greenspace, noise, or diet

· Communication: Excellent oral and verbal communication skills.

· Teamwork: Ability to work collaboratively in a multidisciplinary team environment.

· Preferred Qualifications:

1. Experience with version control systems (e.g., Git).
2. Knowledge of software development methodologies and best practices.
3. Familiarity with remote sensing and GPS technologies.
4. Experience working with sensitive (e.g., personally identifiable) data.

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 comprehensive medical insurance cover as part of your employment.

· Opportunity to work as part of a world-leading scientific research programme.

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-transport-modeller-ai-researcher-for-hd4-jw. If you have any questions, please feel free to reach out to the HR team at [email protected].

• Ensure smooth operations of the school resources with alignment to the vision, mission, values and culture.

• Resolve issues and provide assistance in areas of policy, planning and strategy decisions from management.

• Be responsible for planning the yearly school timetable and school calendar.

• Work along with management to handle student discipline, classroom observations, teacher evaluation and supervision.

• In-charge of course proposal, enquiries correspondent with foreign partners.

• To source local trainers for the organization.

• Work along with various departments ie. marketing, admissions and administration to ensure the effectiveness of marketing initiatives & strategies which affects successful student enrolment numbers.

• To develop, implement and monitor work practices, system and methods that are effective, efficient, and consistent with manuals and EduTrust.

Job Requirements

• Proven experience in private education/training centre, with a minimum of 3 years in a similar role.

• Knowledge of SSG, CPE, Edutrust

• Proficiency in project management tools and techniques.

• Knowledge of relevant industry regulations and compliance requirements.

• Ability to thrive in a fast-paced and dynamic environment, with a proactive and results-oriented mindset.

• Proficient in Microsoft Office suite and other relevant software applications.

We regret that only shortlisted candidates will be notified.

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to our company’s PDPA and e2i’s PDPA.

Job Summary

A Postdoctoral position is available at the Berkeley Education Alliance for Research in Singapore (BEARS) with Assistant Professor Yanwei Lum. The goal of the project is to develop electrochemical systems for CO2 conversion and work with high sensitivity analytical tools that would be amenable for high throughput screening and reaction mechanism investigation. The candidate is expected to build model catalyst systems to investigate hypothesis and validate existing theories. They will also work in the framework of a larger team at BEARS for high throughput analysis and screening. It is expected that these will eventually lead to rationally designed catalysts for electrochemical CO­2 reduction.

Duties & Responsibilities

1. Perform materials synthesis and characterization.
2. Carry out electrochemical studies to determine electrocatalyst performance.
3. Perform product analysis and quantification using methods such as GC, HPLC and NMR.
4. Perform mechanistic studies of electrochemical CO2 reduction mechanisms.
5. Work with high sensitivity chemical analysis equipment.

Qualifications

Candidates must have obtained a PhD in Chemical Engineering, Chemistry, Materials Science and Engineering or related fields.

Candidates are required to have the following skillsets:

1. Materials synthesis for a variety of solid inorganic materials as electrocatalysts through various synthesis procedures.
2. A strong understanding and extensive experience in electrochemistry and electrocatalysis is a must
3. Working knowledge and experience in GC, NMR and HPLC.
4. Experience in operando catalyst studies (e.g. in-situ Raman, FTIR and etc)
5. At least 1-2 Publications in top tier journals (IF > 10)

Summary

A Postdoctoral Scholar position is available for 3 years (extendable by one more year) to work on a collaborative project on decarbonization. The position will be hired at Berkeley Education Alliance for Research in Singapore (BEARS) under Prof. Matthew Sherburne (Director, BEARS) and will be based at A*STAR’s Institute of Sustainability for Chemicals, Energy and Environment (ISCE2) to work closely with Dr. Amol Amrute and co-supervised by Prof. Matthew Sherburne and Prof. Kedar Hippalgaonkar (Nanyang Technological University, NTU). The multi-institutional project involves AI, Machine learning, high throughput experimentation, and automation, with participants and collaborators from BEARS, NTU, ISCE2, NUS, and UC Berkeley, offering an exciting opportunity to work with international experts in the field, learn and develop new relevant skills, and build an international network.

Duties & Responsibilities

• Contribute to developing efficient catalysts for thermocatalytic CO2 conversion to chemicals and fuels.
• Synthesis of solid catalysts and characterization of catalytic properties using advanced methods.
• Operating single tube and high throughput catalytic reactor systems and data analysis.
• Drafting manuscripts and research progress reports.
• Communication of results by presenting at project meetings.

Qualifications

• PhD degree in Chemical Engineering, Chemistry, or Materials.
• Strong knowledge of heterogeneous catalysis, material synthesis, and surface characterization.
• Previous experience in catalyst design for thermocatalytic CO2 conversion is an advantage.
• Proactive, team player and good problem-solving skills.
• Data analysis and interpretation.
• Excellent oral/written communication.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Senior Scientist in Lead Optimization Unit

CPR is seeking for a scientist with expertise in protein engineering.

Job requirements

The applicant should be highly skilled in at least one of the following areas:

• Strong and proven expertise in structural biology and molecular biology for protein structure/function investigation.
• Advance knowledge in protein and/or antibody engineering, including but not limited to rational or random mutagenesis engineering approach.
• Expertise in protein biochemistry, protein expression, purification, and characterization.
• Strong organizational skills to deal with large amounts of data and excellent communication and collaborative skills, as well as a team player mindset for working with cross-functional multi-disciplinary teams.
• Knowledge and skill of high-throughput system, automation, and/or general scripting language is a plus but not a must.
• Knowledge and skill of cell biology, biophysics or immunology is a plus but not a must.

The applicant must have completed and be awarded with a relevant Ph.D. degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Information science with 1-2 years of working experience in a related field. In addition, the successful candidates must be able to demonstrate technical expertise in areas which may include molecular biology, cell biology, protein chemistry and protein engineering as evidenced by projects, presentations, or peer-reviewed scientific publications.

As frequent communication and liaison is expected between both the Singapore and Japan office, you should possess an excellent command of both spoken and written Japanese and English languages.

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed 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

We are seeking an enthusiastic PhD. candidate who can perform experiments (e. g., e-beam lithography, photo-lithography, top-down fabrication techniques, design/building optical characterization setups) and numerical simulations (e.g., FDTD, RCWA, and so on).

Qualifications

• Possess a Ph.D. Degree in either Electrical or Mechanical Engineering.
• Qualified experimental, simulations skills.
• Open to Fixed Term Contract

Responsibilities

• Plan and provide nursing care to meet the patients' needs
• Maintain accurate and up-to-date documentation of patients, treatments and conditions
• Assist in supervision of junior nurses and ancillary staff

Requirements

• Registered with the Singapore Nursing Board
• Minimum 1 year’s ward experience
• Good interpersonal skills, with the ability to relate well to people of all levels
• Able to perform shift duties