Title : English langauge, Maths or Science Tuition Teacher
Location: Hougang

Working days & Time: 3 weekdays (3PM-9PM) + Weekend (Both Sat & Sun ; 9AM-6PM)
Salary: $3000 - $3500

Job Responsible:

• Prepare and conduct lessons: Tailor lessons in accordance with our curriculum with a holistic understanding of your student’s learning needs to meet the unique needs and learning styles of individual students.
• Curriculum Development: Work with our curriculum development team to create useful learning materials.
• Motivation: Inspire and motivate students to excel academically and develop a love for learning. Be a role model for your students. Give appropriate advice to students to improve students’ holistic development.
• Communication: Monitor your class progression and provide honest and helpful feedback with suggestions to parents on a regular basis to improve the student’s conduct or academic performance.

Administrative:

• Prepare lesson plans and teaching materials
• Check with students on their exam dates, record students’ test results, evaluate students’ test papers
• Conduct lessons and tutoring sessions.
• Assess and evaluate student performance(Mark papers).Provide feedback to students and parents. (Call parents and update class group chats - teacher’s personal contact would be added)
• Maintain a conducive and disciplined learning environment.
• Stay updated with the latest teaching methods and curriculum changes.
• Assist in curriculum development and improvement.
• Take attendance and arrange makeup lessons for absentees.

Requirement:

• Teaching certification or relevant teaching experience with Singapore MOE syllabus.
• Strong knowledge and passion for the subject(s) you teach.
• Primary post – Min. 'A' level or Diploma
• Secondary post – Min. Bachelor degree

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

KPay Merchant Service Limited (KPay) is a fintech company committed to unleash the growth potential of businesses of all sizes, with simple and smart technology. Serving over 40,000 merchants in Hong Kong, Singapore & Japan, KPay aspires to be the comprehensive business platform of choice for merchants across the Asia Pacific, through its various solutions of customer-led payment, financial management, operational and digital transformation products and services.

Responsibilities:

• Reporting directly to the Regional team
• Identify new markets: research and identify new geographic regions, customer segments, or product utilization/developments that offer potential for business expansion in target markets
• Develop and implement expansion strategies to enter new markets
• Conduct market research: Gather and analyze data on industry trends, customer needs, commercial prospects and market niches in local landscape
• Monitor performance: Track and report on the performance of market expansion initiatives including sales, customer satisfaction, market share, and adjust strategies when needed
• Develop vertical business plans to expand existing overseas markets
• Negotiate new and ongoing commercial partnerships with domestic partners
• Create marketing tactics to improve product offers, program strategies, and corporate competitiveness

Requirements:

• Min. 1 year of relevant work experience in fintech / payments / strategy / management consulting / or internet start-ups
• Fresh Graduates are welcome to apply
• Strong analytic skills and experience with market research and data analysis
• Excellent communication and interpersonal skills to build relationships and influence stakeholders at all levels
• Based in SG, overseas travelling required only after work performance is stabilized

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics, machine learning, and deep learning to analyse various types of clinical data such as large-scale electronic health records, bio-signals, and/or medical images (MRI, CT, X-ray).
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Provide guidance and mentorship to junior researchers and graduate students, and get involved in occasional educational/instructional activities.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Statistics / Biostatistics / Computing / Engineering / Epidemiology with good mathematical knowledge and extensive research experience in machine learning and statistics.
• Proven record of publications in reputable journals and/or good machine learning and data science conferences.
• Possess good programming skills in R and Python.
• Have interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• A strong team player with the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

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.

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.

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 successful candidate will work in the area of artificial intelligence (AI) for science, with focus on materials science. Of particular interest would be the problem of inverse design of material given desired properties, particularly with the use of diffusion model.

Qualifications

• PhD in a field related to AI for science
• Good understanding of both AI and physics
• Good publication record
• Good communication skills and willingness to work across discipline
• Have at least two years of working experience in related areas

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics, machine learning, and deep learning to analyse various types of clinical data such as large-scale electronic health records, bio-signals, and/or medical images (MRI, CT, X-ray).
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Provide guidance and mentorship to junior researchers and graduate students, and get involved in occasional educational/instructional activities.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Statistics / Biostatistics / Computing / Engineering / Epidemiology with good mathematical knowledge and extensive research experience in machine learning and statistics.
• Proven record of publications in reputable journals and/or good machine learning and data science conferences.
• Possess good programming skills in R and Python.
• Have interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• A strong team player with the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description:

The Signature Research Programme in Health Services and Systems Research is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

This position will report directly to Senior Health Economists in the Health Economics Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees and markov models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Assist with teaching for relevant related modules.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements:

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Health Economics / Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as STATA.
• Proficient with Microsoft Office Suite.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams

We regret that only shortlisted candidates will be notified.

Job Description

The Laboratory for Translational and Molecular Imaging (LTMI) at Duke-NUS Medical School is looking for a Research Assistant to support in vitro and in vivo research efforts surrounding nuclear and optical imaging. The LTMI group advances state-of-the-art small animal imaging platforms and fosters the translation of molecular imaging probes and associated technologies. Multimodal in vivo imaging techniques are employed at LTMI, including computed tomography (CT), positron emission tomography (PET), single photon computed tomography (SPECT), and fluorescence imaging.

• Perform molecular biology experiments (e.g. PCR, Western blot) and live cell assays.
• Maintain cells, creating cell banks, and perform quality control.
• Handle radioactive and infectious (live virus) materials for in vitro and in vivo studies.
• Animal handling, including cancer cell implantation and injection of test materials.
• Perform ex vivo assessment including but not limited to histology (e.g. IHC, IF, H&E staining).
• Carry out laboratory experiments according to SOPs.
• Ensure accurate monitoring, documenting and reporting of experimental results and research findings.
• Assist in procurement and inventory of equipment, chemicals, reagents, and consumables.
• Assist in management of multiple projects.
• Maintain laboratory records (MSDS, chemical, biohazard) and assist in preparation of SOPs.

Job Requirements

• Bachelor’s or Master’s Degree in Molecular Biology, Biology, Biochemistry or a related scientific area with at least 2 years of relevant research experience and training.
• Experience in Cell culture, molecular biology, in vitro assays and tissue analysis required.
• Certified in animal handling, preferably with RCULA certificate.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Location: Hougang

Working days & Time: 3 weekdays (3PM-9PM) + Weekend (Both Sat & Sun ; 9AM-6PM)
Salary: $3000 - $3500

Job Responsible:

• Prepare and conduct lessons: Tailor lessons in accordance with our curriculum with a holistic understanding of your student’s learning needs to meet the unique needs and learning styles of individual students.
• Curriculum Development: Work with our curriculum development team to create useful learning materials.
• Motivation: Inspire and motivate students to excel academically and develop a love for learning. Be a role model for your students. Give appropriate advice to students to improve students’ holistic development.
• Communication: Monitor your class progression and provide honest and helpful feedback with suggestions to parents on a regular basis to improve the student’s conduct or academic performance.

Administrative:

• Prepare lesson plans and teaching materials
• Check with students on their exam dates, record students’ test results, evaluate students’ test papers
• Conduct lessons and tutoring sessions.
• Assess and evaluate student performance(Mark papers).Provide feedback to students and parents. (Call parents and update class group chats - teacher’s personal contact would be added)
• Maintain a conducive and disciplined learning environment.
• Stay updated with the latest teaching methods and curriculum changes.
• Assist in curriculum development and improvement.
• Take attendance and arrange makeup lessons for absentees.

Requirement:

• Teaching certification or relevant teaching experience with Singapore MOE syllabus.
• Strong knowledge and passion for the subject(s) you teach.
• Primary post – Min. 'A' level or Diploma
• Secondary post – Min. Bachelor degree

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

• Location: Thomson Plaza, Tampines, Punggol, Parkway, Bukit Timah
• Working days: 4 Weekdays + 1 Weekend (Tuesday - Saturday)
• Working Time: 44 hours per week
• Salary: $3800 - $5500

Job Description

• Display strong classroom delivery skills according to centre suggested methodology
• Effectively utilise teaching materials to create a stimulating and engaging learning environment
• Mark and grade students’ assignments with value-added feedback
• Perform required classroom administration responsibilities
• Foster good relationships with students’ parents through regular written and/or verbal feedback
• Work together with the customer service team to provide all stakeholders with a positive customer experience
• Attend training sessions and meetings organised by the company
• Participate in level meetings/subject-sharing sessions
• Participate in curriculum development (full-time)

Job Requirements

• Bachelor's degree or equivalent
• Up-to-date with latest MOE syllabus
• 2-3 years of teaching experience

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

We regret 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

The National University of Singapore invites applications for a Research Assistant position in Dr Mohammad Alfatah’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on discovering anti-aging interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to and work closely with Dr Mohammad Alfatah to provide support in research projects with a specific focus on discovering chemical (drugs, natural products, metabolites, etc) and genetic anti-aging interventions. This includes assessing the effectiveness of potential compounds in various age-related disease models.

Main Duties and Responsibilities

1. Perform daily basic chemical and genetic high-throughput screening in yeast and human cells, molecular biology experiments related to DNA, RNA, protein and cell culture work.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably.
3. Oversee the general management of the lab including managing inventories of chemical, cell lines and instruments.
4. Provide administrative support to the project, maintain communication and collaboration with other members of the research team.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

• Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
• Able to work independently and in a team as well, self-motivated with initiative and keen to learn new techniques.
• Previous experience in laboratory work, particularly in cell culture and in molecular biology techniques is preferred.
• Experience in bioinformatics, particularly with programming skills in Python and R, would be a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Mohammad Alfatah at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret 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

A Research Assistant position is available to investigate the role of epigenetic modifiers in rhabdomyosarcoma.

Qualifications

Self-motivated candidates with a recent Bachelor’s degree and experience in molecular biology and/or familiarity with bioinformatics are encouraged to apply.

Interested candidates should send their CV and names of three referees.

For more information, please visit our website:

https://medicine.nus.edu.sg/phys/lab/Tanejas_Lab/index.html

We regret 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

We are seeking a highly motivated and detail-oriented Research Assistant to join our team at the forefront of iPSC biobanking. The successful candidate will play a pivotal role in the collection, characterization, and maintenance of induced pluripotent stem cell lines, contributing directly to cutting-edge research initiatives in regenerative medicine, disease modeling, and drug discovery.

Responsibilities

1. iPSC Reprogramming

• Execute established protocols for the reprogramming of iPSC lines.
• Collaborate with researchers to further optimize workflow for reprogramming.
• Explore alternative workflows for reprogramming.

2. iPSC Culture and Maintenance:

• Execute established protocols for the culture and expansion of iPSC lines.
• Monitor cell growth, viability, and quality control parameters.
• Perform routine passaging and cryopreservation of iPSCs.
• Maintain accurate records of cell culture activities.

3. iPSC Characterization:

• Conduct immunocytochemistry, flow cytometry, and molecular biology techniques to assess pluripotency and differentiation potential of iPSC lines.
• Perform karyotyping and other cytogenetic analyses to ensure genomic stability.
• Collaborate with researchers to design and implement experiments for iPSC characterization.

Responsibilities

4. Biobanking Operations:

• Coordinate sample collection, processing, and storage according to standardized protocols.
• Label, track, and catalog iPSC samples in the biobank database.
• Implement quality control measures to ensure sample integrity and compliance with regulatory requirements.
• Assist in the development and optimization of biobanking workflows.

5. Data Management and Analysis:

• Compile and organize experimental data, including cell culture records, characterization results, and biobank inventory information.
• Analyze data using statistical methods and assist in the preparation of research reports and presentations.
• Contribute to the maintenance and updating of laboratory databases and electronic notebooks.

Responsibilities

6. Laboratory Support:

• Maintain cleanliness and orderliness of the laboratory.
• Assist in the procurement and organization of laboratory supplies and reagents.
• Support other members of the research team in experimental procedures and technical troubleshooting.

Qualifications

• Bachelor's in Biology, Biochemistry, Molecular Biology, or a related field.
• Hands-on experience in cell culture techniques, preferably with human pluripotent stem cells.
• Familiarity with basic molecular biology and cell biology techniques (e.g., PCR, Western blotting, immunocytochemistry).
• Strong organizational skills and attention to detail.
• Ability to work independently as well as part of a collaborative research team.
• Prior experience in biobanking or sample management is advantageous.
• Knowledge of relevant safety protocols and regulatory guidelines in cell culture and biobanking is desirable.

This position offers an exciting opportunity to contribute to groundbreaking research in iPSC biology and biobanking, with potential for career development and growth within our dynamic research environment.

Position: QA Assistant Manager (Food Science)

• Working days: 5 days work week (8.30am - 5.30pm )
• Salary: $4000 - $4700 (Depend on experience)
• Location: Senoko S Rd (Sembawang)

Responsibilities

• Ensure documentation update and control based on regulatory and certification requirements (e.g. FSSC 22000).
• Liaise with government authorities to ensure conformance to relevant food regulations and halal requirements
• Conduct internal audit and handling of third party audits
• Ensure effective implementation of all matters with regards to quality assurance and control e.g. pest control, effectiveness of cleaning chemical
• Supervise the handling of customer complaint and review of corrective action reporting.
• Supervise implementation of product and process checking based on QAQC program.
• Supervise health cert application handling and export registration.
• Ensure implementation of annual vendor evaluation on food safety & quality.
• Provide food safety training and relevant refresher training to team

Chin Wai Loon Reg No: R24121618

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

Research Area: Design for an aging population.

The research associate is expected to have solid understanding of the physical and mental capabilities of elderly citizens. The task will be to determine the most important areas of physical and mental degradation that affect the quality of lives of elderly citizens as well as the remedies that have been designed to address these areas of degradation.

Qualifications

The researcher needs to have a Masters' degree with at least 2 years' relevant experience, in physiotherapy, public health, bio-medical sciences (including bio-mechanical engineering).

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.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The successful candidate will play a critical role in supporting AIDF’s research efforts by maintaining AIDF’s IT infrastructure and enhancing the Institute’s IT capabilities. This job role will include:

• Optimisation and maintenance of AIDF’s servers, hardware, websites and database subscriptions to meet our core objectives
• Provide IT infrastructure and software systems assistance for AIDF colleagues and research partners
• IT support for research and office administration
• Event support: Help with IT set-up and other tasks as required

Qualifications

• Bachelor Degree in Networks and Telecommunication or related fields
• Knowledge of Basic Server Management a plus
• 2 years of minimum experience

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

We believe we have a responsibility to be a force for good, and WorldImpact[WSY1] is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices.

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals.

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognised for their contributions.

Ready to unleash your potential with us? Join the winning team now!

Work you will do

Deloitte's Life Sciences & Health Care industry group strives to support clients in addressing the challenges that impact today’s industry. Our member firms' global network engages with clients to refine their business models through innovative practices, improved processes and enabling information technologies.

Cloud is transforming the way technology enables the business. It represents a radical shift in how IT services are obtained, used, and managed. Companies are navigating through the various cloud options and deciding between private, public, or a combination across different and dynamic provider ecosystems. Our cloud specialists guide our clients through multi-year journeys from the case for change through implementation across all dimensions of cloud - business alignment, technology architecture and design, cloud application on-boarding, and transforming their operating model – to help solve our client’s most complex issues with the focus on value creation.

Our practitioners work collaboratively within integrated, cross-functional teams to deliver comprehensive strategies that enable Cloud and Infrastructure transformations. Teamwork is crucial as teams are composed of a diverse group of specialists across multiple disciplines from both within our consulting practice and from our clients, helping drive towards a successful outcome. Our practitioners are expected to own and deliver their respective deliverables while managing different clients and other stakeholders.

In partnership with other leaders in the firm, you will focus on selling and delivering cloud solutions using AWS. As Cloud Architect, you will you will drive the design and delivery of world-class cloud solutions for our clients, providing expertise on cloud infrastructure services including design, build and migrate. This includes taking a lead role in the cloud architecture and engineering practice. You will be challenged to find approaches that enable rapid adoption of new cloud services and drive transformation for our client’s business and IT processes.

• Promote public cloud internally to sales and delivery teams to drive growth.
• Be the go to person for Cloud Network engineering. You should have a deep understanding and hands on experience of services offered on Public Cloud platforms and understand how to configure these services to support the building of complex solutions.
• Support the solution architects, and delivery teams in design, build, configuration, testing and deployment on Public Cloud
• Capture and share best-practice knowledge amongst the Public Cloud solutions architect community
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates, and provide advisory around integration of on-premises environments with Public Cloud
• Act as a technical liaison between customers, delivery teams and support.

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Managers across our Firm are expected to:

· Establish a strong leadership brand and inspire their team through passion, integrity, and appreciation of others.

· Make effective use of resources to optimise value.

· Demonstrate the success and efficiency of Deloitte through leveraging its network and people.

· Deliver exceptional quality results and stakeholder value by leveraging each person’s strengths to build high performing teams across businesses and borders.

· Apply deep knowledge of disruptive trends and competitor activity to drive continuous improvement.

· Build deep professional relationships across a diverse network and use a flexible influencing style to gain buy-in and drive impact.

· Translate broader strategy into a compelling team vision and goals as well as align the team and sets priorities to achieve objectives.

· Contribute to building an inclusive talent pipeline by creating a talent experience that attracts, develops and retains diverse, top talent and high performing teams.

Enough about us, let's talk about you

If you are someone with:

• The right person will be detailed, highly technical, having 12+ years of current network infrastructure experience, preferably with Cloud integration from on premises networks
• AWS Certified or Google Cloud Certified
• 6+ years project experience migrating and deploying cloud based solutions (GCP, Azure or AWS)
• 6+ years architecting, implementing and supporting Network for Microsoft Azure or Amazon Web Services or Google Cloud Platform
• Experience with infrastructure as code is a must
• Experience with building, configuring and supporting network infrastructure solutions (on-premises, virtualization, Public Cloud) using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures
• Technical proficiency including systems experience, strong troubleshooting and problem solving skills, and issue management in a multi-platform environment
• Experience with deploying cloud based solutions and workload migration strategy using tools
• Experience with Enterprise application and database architecture is an advantage
• Demonstrated skills in communication (oral, written, presentation), analysis, problem solving and short term and long term planning
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignment.

Due to volume of applications, we regret that only shortlisted candidates will be notified.

Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

Position : Graphic Designer

Working day : Mon - Fri ( 9am -6pm)
Address : Henderson Rd

Key Responsibilities:

• Conceptualize and Design: Create compelling visual content for websites, social media, advertisements, brochures, product packaging, and other media.
• Brand Identity: Ensure consistency with the brand’s visual identity by following style guides, fonts, and color schemes.
• Collaborate: Work with marketing teams, copywriters, photographers, and project managers to meet the client's or company’s design goals.
• Design Tools: Use software such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) to create and edit graphics.
• Mockups & Prototypes: Design mockups and prototypes to present concepts to clients or teams for feedback before finalizing designs.
• Project Management: Manage multiple projects and deadlines, ensuring timely delivery of high-quality designs.

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in advancing sketch prototype concept creation using Large Multimodal Models (LMMs). This role involves contributing to a groundbreaking project aimed at developing and studying novel means of interaction with state of the art LMMs that the research team will develop.

Key Responsibilities:

• Develop, refine, and deploy our sketching application
• Collect and analyse data from the prototype
• Collaborate with a multidisciplinary team to integrate LMMs into the sketching application.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the design and development of interaction techniques for novel human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in rapid prototyping and human-AI interaction, particularly in LMMs.
• Experience in research methods, statistical analysis, AI and LMMs.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.