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 the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible to work on problems at the intersection of information theory, statistics, and learning.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Strong background in mathematics
• Research experience in information theory

Benefits

1. Attractive Salary: Basic salary up to $5,000 + Variable Bonus + AWS.
2. Working Hours: 44-hour work week (Monday to Friday: 9am-6pm, Saturday: 9am-1pm).
3. Convenient Transportation: Grab Pool services provided for travel to the worksite and nearest MRT station (Punggol).
4. Growth-Oriented Role: Opportunity to lead safety protocols and maintain compliance with WSH regulations.
5. Performance-Based Rewards: Bonuses tied to both individual and company performance.

Job Summary

As the Safety Officer for the main contractor, you will report to the Project Manager and oversee safety protocols at the construction site. This includes conducting inspections, implementing safety measures, facilitating training, and ensuring compliance with Singapore’s Workplace Safety and Health (WSH) regulations.

Key Responsibilities

• Site Inspections: Conduct regular safety inspections and audits to ensure compliance with WSH regulations.
• Risk Management: Perform risk assessments and implement control measures to mitigate hazards.
• Training and Education: Organize safety training programs, toolbox meetings, and emergency response drills.
• Incident Management: Investigate accidents and near-misses, recommend preventive measures, and prepare reports.
• Safety Protocols: Implement and enforce safety procedures, liaising with MOM and other regulatory bodies.
• Emergency Preparedness: Develop emergency response plans and conduct regular site readiness drills.
• Documentation and Reporting: Maintain records of inspections, training sessions, incidents, and monthly safety performance reports.
• Communication: Act as the safety liaison between management and workers, fostering a culture of safety.

Qualifications

• Diploma or degree in Occupational Safety and Health, Environmental Science, or a related field.
• Valid WSHO (Workplace Safety and Health Officer) certification recognized by MOM.
• 3-5 years of experience as a Safety Officer in the construction industry.
• Strong understanding of WSH regulations and site safety practices in Singapore.
• Proficient in report writing, record-keeping, and risk assessment.
• Excellent communication, analytical, and problem-solving skills.
• Work outdoors in varying weather conditions.

Additional Information

• Location: 2 Seletar North Link, PPT Lodge 1B, #02-01, Singapore 797601..
• Work Arrangements:Days: Monday to Friday (9am-6pm), Saturday (9am-1pm).
  Transport: Grab Pool services provided.
  Overtime: Compensated with time off in lieu.
• Medical Coverage: Comprehensive coverage for workplace health and safety.HSE Officer (Health, Safety, and Environment)

Responsibilities:

1. Assist M&E Engineer, Superintending Officer Representation (SO Rep) and Resident Engineer (RE) in the supervision and quality assurance of construction works on site
2. Provide standing supervision as and when required by the M&E Engineer, SO Rep and RE
3. To ensure all installation methods and material used are in accordance with the approved drawings and specifications
4. Liaise with the Contractors/ sub-contractors and other Resident Technical Officers (RTO) in the coordination of site works
5. Highlight discrepancies, resolve site M&E issues and monitor site progress
6. Feedback site progress and irregularities to M&E Engineer, SO Rep and RE
7. Attend site meetings, site inspections, testing and commissioning
8. To check as-built drawings to tally with site installation
9. Ensure the contractors maintain work safety, cleanliness and tidiness of the site
10. Documentation of site records, ie. Inspection records, T&C records, site meetings etc.
11. Aware of the potential and actual OH&S hazards of his activities at the workplace and to highlight / communicate to the PM when he knows of any irregularities. He shall be aware of his individual OH&S obligations by ensuring that he is adequately equipped with appropriate safety gears, by observing closely to all safety rules / regulations / procedures at site and by attending all relevant site safety trainings.

Requirements

1. Diploma in Electrical/ Mechanical or Building Services Engineering from local Polytechnic or other tertiary institutions of equivalent standing
2. Minimum eight (8) years of M&E work experience as a Resident Technical Officer
3. Conversant in local construction practices, air-conditioning, electrical, fire protection, plumbing and sanitary services.
4. Good co-ordination skills
5. Good analytical ability with strong verbal and written communication skills.
6. Self-motivated, proactive and team player
7. Past work experience in healthcare/residential/institutional projects is preferred.

As teachers, you build the foundation of education. You equip students with essential skills and sound values to prepare them for life. Anticipate a career of lifelong learning, as you grow alongside your students.

We are looking for individuals with subject content knowledge and good communication skills to deliver the school curriculum effectively.

Applicants will need to have good personal attributes for teaching and a willingness to learn; in addition to the ability to inculcate sound moral values and relate to the young. Applicants should also have the fitness and stamina to deliver lessons, and resilience required to engage students safely and carry out their duties effectively.

In addition, applicants should possess one of the following entry qualifications to meet the requirements for pre-service teacher training at the National Institute of Education (NIE).
• University degree; or
• equivalent qualifications

The application window is open from 26 December 2024 to 15 January 2025. If you would like to be considered for a teaching position under the PGDE programme, you are required to:

• Go to the Careers@Gov job post at www.moe.gov.sg/teach2025

• Click "Apply Now" in Careers@Gov to fill in the FormSG application form.
• Indicate your preferred teaching subjects.
• Attach all your educational transcripts along with your application. If you have not received your official transcripts, you can submit your latest transcripts at point of application.

You will need to submit your application by 15 Jan 2025, 11.00 PM. Only applications received via the FormSG application form will be considered.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

For teachers with professional teaching qualifications, please refer to the application details at https://www.moe.gov.sg/careers/become-teachers/pri-sec-jc-ci/trained.

working location: Changi

Duties:

- Screening passengers at designated zones

- Manual bag checks

- Operate security screening equipment

- X-ray screening of checked luggage

- Other airport security-related tasks

Requirements:

- Education: N Levels / O Level / WPLN Level 3 or Level 4

- Shift pattern: 4 working days with 2 days off or 5 working days with 1 day off

- 12-hour permanent shifts

*Able to start work within short notice will be highly advantageous.*

Please be notified that only shortlisted candidates will be notified

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: YEO AHN AHN

EA Personnel No: R22109014

EA License No: 21C0845

As teachers, you build the foundation of education. You equip students with essential skills and sound values to prepare them for life. Anticipate a career of lifelong learning, as you grow alongside your students.

We are looking for individuals with subject content knowledge and good communication skills to deliver the school curriculum effectively.

Applicants will need to have good personal attributes for teaching and a willingness to learn; in addition to the ability to inculcate sound moral values and relate to the young. Applicants should also have the fitness and stamina to deliver lessons, and resilience required to engage students safely and carry out their duties effectively.

In addition, applicants should possess one of the following entry qualifications to meet the requirements for pre-service teacher training at the National Institute of Education (NIE).
• University degree; or
• equivalent qualifications

The application window is open from 26 December 2024 to 15 January 2025. If you would like to be considered for a teaching position under the PGDE programme, you are required to:

• Go to the Careers@Gov job post at www.moe.gov.sg/teach2025

• Click "Apply Now" in Careers@Gov to fill in the FormSG application form.
• Indicate your preferred teaching subjects.
• Attach all your educational transcripts along with your application. If you have not received your official transcripts, you can submit your latest transcripts at point of application.

You will need to submit your application by 15 Jan 2025, 11.00 PM. Only applications received via the FormSG application form will be considered.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

For teachers with professional teaching qualifications, please refer to the application details at https://www.moe.gov.sg/careers/become-teachers/pri-sec-jc-ci/trained.

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

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

Company Profile

As Singapore’s leading provider of comprehensive life insurance for over 90 years (Prudential), they have attained world accredited accolades in providing security to consumers’ lives. They have delivered a suite of product offerings and expert advisory through their extensive network of financial consultants and bank partners.

This role is a back-end support to financial consultants.

Work location: Somerset

Working hours: Mon - Fri @ 9.00 - 6.00pm (Hybrid available)

Key Responsibilities:

• Consistent evaluation of current portfolio to suggest relevant upgrades.
• Developing informative recommendations for clients to strategise their current portfolio.
• Learning the financial industry by understanding current economic market trends.
• Providing detailed reviews with new clients to enhance their portfolio coverage.
• Any other ad-hoc duties

Requirements:

• Min Local diploma
• Must be comfortable in sales related job

Interested candidates may whatsapp your resume to 87724117 (Stella).

Only shortlisted applicants will be contacted.

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

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 seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• 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 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 seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• 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 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.

Responsibilities

• Assist M&E Engineer, Superintending Officer Representation (SO Rep) in the supervision and quality assurance of construction works on site.
• Provide standing supervision required by the M&E Engineer and SO Rep.
• Check and ensure all installation methods, testing & commissioning and materials used are in accordance with the design intent, approved drawings, and specifications, as well as in compliance to code of practice/manufacturer’s installation instructions where applicable.
• Liaise with the Contractors/ sub-contractors, Resident Engineer (RE), and other Resident Technical Officers (RTO) in the coordination of site works and assist in resolving M&E issues.
• Highlight discrepancies, deviations, irregularities and feedback site progress and any critical/major issues to the M&E Engineer, SO Rep, and RE.
• Monitor the progress of work on-site, verify the contractors’ progress report and present the report to the Consultants in such format that the progress payment claim by the contractor can be easily evaluated.
• Verify the contractors’ progress payment claim in terms of work done and materials/equipment delivered and stored at site.
• Attend site meetings, client/consultant meetings, technical meetings, user group meetings, site inspections, testing and commissioning, etc
• Check as-built drawings and specifications tally with site installation.
• Ensure the contractors maintain work safety, cleanliness, and tidiness of the site.
• Maintain proper and updated daily records of all works done, including records of tests, inspections, T&C, status of work, safety, site diary, material and equipment delivered to and on site, labour, dayworks, provisional quantities, etc.
• Compile Punch List or Defect List with the contractors and ensure that the contractors carry out rectification work diligently to clear all defects during the Maintenance Period.
• Aware of the potential and actual OH&S hazards of his activities at the workplace and to highlight / communicate to the PM when he knows of any irregularities. He shall be aware of his individual OH&S obligations by ensuring that he is adequately equipped with appropriate safety gears, by observing closely to all safety rules / regulations / procedures at site and by attending all relevant site safety trainings.
• Undertake any other duties related to the project as and when instructed by the consultant. team.
• Liaise with the Contractors/ sub-contractors and other Resident Technical Officers (RTO) in the coordination of M&E systems’ interfacing, integration, and testing and commissioning between different stakeholders (i.e. Neighbourhood Centres (NCs) and Polyclinic).

Requirements

• Diploma in Electrical/ Mechanical or Building Services Engineering from local Polytechnic or other tertiary institutions of equivalent standing.
• Minimum eight (8) years of M&E work experience as a Resident Technical Officer. Past work experience in healthcare/residential/institutional projects is preferred.
• Conversant in local construction practices and codes for ACMV, electrical, fire protection, plumbing and sanitary services.
• Good co-ordination skills especially interfacing of M&E works with architectural and C&S works.
• Good analytical ability with strong verbal and written communication skills.
• Self-motivated, proactive and team player.
• Able to start Q4 2024.

working days: 4 days work with 1 day off OR 3 days work with 1 day off

working hours: 12-hour permanent shifts

Salary range : $2540 - $3500

bonus provided

Job responsibilities:

- Incident response and managing security & safety systems

- Prevent unauthorized entry into premises

- Monitor CCTV - Patrolling and clocking

- Perform access control duties

Requirements:

- Incident response and managing security & safety systems

- Prevent unauthorized entry into premises - Monitor CCTV

- Patrolling and clocking

- Perform access control duties

*Able to start work within short notice will be highly advantageous.*

Please be notified that only shortlisted candidates will be notified

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: YEO AHN AHN

EA Personnel No: R22109014

EA License No: 21C0845

1. JOB DESCRIPTION

Job Title : Relationship Officer

Occupation : Relationship Officer

Job Description & Requirements

Able to commence work immediately or on short notice

Job Description:

- Assist and support assigned Sales consultants with admin support

- Monitor and oversee administrative work

- Preparation of invoices

- Liaise with external clients and funders

- Ad-hoc duties as assigned

Job Requirements:

- Good interpersonal & communication skills

- Familiar with Microsoft Word & Excel and apps

Job Type: Full-time

Pay: $2,300 to $2,500 per month

Customer Service Responsibilities list:

• Manage incoming phone calls and reply to customers query
• Identify and assess customers’ needs to achieve satisfaction
• Build sustainable relationships and trust with customer accounts through open and interactive communication
• Provide accurate, valid and complete information by using the right methods/tools
• Meet personal/customer service team sales targets and call handling quotas
• Handle customer complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution
• Keep records of customer interactions, process customer accounts and file documents
• Follow communication procedures, guidelines and policies
• Take the extra mile to engage customers

Responsibilities

1. Processing of data using in-house system.
2. Processing of documents and receipts.
3. Checking and verifying records.
4. Liaising with associates in verification of details.
5. Handling incoming calls, enquiries and emails.
6. Handling enquiries on payment.
7. Processing of commission payment using in-house system.
8. Assisting in ad-hoc administrative duties when required.

Requirements

1. Minimum GCE “O" level with administrative experience.
2. Meticulous and has good interpersonal skills.
3. Proficient in MS Excel/Word.
4. Positive attitude and willing to learn.
5. Able to interact effectively with people at all levels and be a team player.
6. Preference will be given to candidates who are available immediately or within short notice.

Other Information

• Working Location: Toa Payoh (HDB Hub near Toa Payoh MRT Station)
• 5-day work week, Mondays to Fridays: 9.00am to 6.00pm

Benefits

• Conducive Work Environment
• On-The-Job Training provided
• Opportunities For Growth and Progression
• Dress Code : Smart Casual
• Annual Leave up to 21 days.
• Festive Leave up to 3 days
• Work From Home Leave
• Birthday Leave and Voucher
• Volunteer Leave
• Medical and Insurance Benefit

Interested candidates are invited to submit a comprehensive resume, stating the current and expected salary and date of availability.

We regret that only shortlisted applicants will be notified.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

Company Profile

As Singapore’s leading provider of comprehensive life insurance for over 90 years (Prudential), they have attained world accredited accolades in providing security to consumers’ lives. They have delivered a suite of product offerings and expert advisory through their extensive network of financial consultants and bank partners.

This role is a back-end support to financial consultants.

Work location: Somerset

Working hours: Mon - Fri @ 9.00 - 6.00pm (Hybrid available)

Key Responsibilities:

• Consistent evaluation of current portfolio to suggest relevant upgrades.
• Developing informative recommendations for clients to strategise their current portfolio.
• Learning the financial industry by understanding current economic market trends.
• Providing detailed reviews with new clients to enhance their portfolio coverage.
• Any other ad-hoc duties

Requirements:

• Min Local diploma
• Must be comfortable in sales related job

Interested candidates may whatsapp your resume to 87724117 (Stella).

Only shortlisted applicants will be contacted.

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Machine Learning Research Scientist with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Responsibilities:

• Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
• Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
• Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
• Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
• Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
• Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Experience: Proven experience in developing and analyzing machine learning algorithms.
• Programming Skills: Proficiency in programming languages such as Python and C++.
• ML Frameworks:Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
• Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
• Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

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:

ASIA RESEARCH INSTITUTE (ARI)

Postdoctoral Fellowship in Asia Research Institute (Science, Technology and Society Research Cluster)

The Asia Research Institute invites outstanding, active researchers from around the world to work on an important piece of Asia-centred research in the social sciences or humanities.

Apart from the quality of the research proposal, and the applicant’s publication track record, positions will be awarded on the basis of the relationship of their research topic to the identified priorities and themes of the cluster.

The Science, Technology, and Society (STS) Cluster concentrates on the relationship between those three domains in and beyond Asian settings, and their intersections with the environment in the past, present and future.

The cluster currently brings together a diverse, interdisciplinary group of researchers who work on the following research themes:

i) climate change and carbon governance;

ii) planetary health and ‘Asian medicines’;

iii) energy transitions, infrastructure and space;

iv) critical minerals.

The cluster welcomes diversity in methodological approaches, fosters interdisciplinary practices and encourages collaborative research projects. In the current round of recruitment, we are particularly interested in hiring a postdoctoral research fellow with research interests at the intersection of STS and environmental humanities.

Given that a growing proportion of ARI’s funding is derived from external sources, strong preference will be given to candidates with potential to contribute to building competitive research grant applications.

JOB DESCRIPTION

The Researcher will work under the supervision of the Cluster Leader and take the lead in duties such as organising workshops and conferences, participating in current cluster projects, and carrying out new projects (including applying for grant funding). Administrative duties and committee work will be assigned and form part of the position.

JOB REQUIREMENTS

1. Candidates must have fulfilled all requirements of securing a PhD from a reputable university at the time they take up their appointment at ARI.
2. If you are still a PhD candidate at the point of application, you may also apply provided that you are confirmed for graduation by your commencement date at ARI. An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree.
3. Candidates must have an existing track record of publication, and plausible plans for future high-quality publications to be completed at ARI.

TERMS OF APPOINTMENT

1. The appointment will be tenable for a period of two years.
2. Applications are invited for commencement in: Aug/Sept 2024 or Dec 2024/Jan 2025.
3. The Postdoctoral Fellowship remuneration is S$6,000 per month. This all-in sum is inclusive of stipends for housing and living expenses.
4. Please note that University Housing will not be provided, and appointees are expected to make their own private accommodation arrangements.
5. Travel assistance will be provided to eligible candidates.
6. Singapore Citizens and Permanent Residents are eligible for provident fund benefits.
7. All salary and benefits-in-kind are subjected to taxation in accordance with local tax laws.
8. There is support for research fieldwork and conference attendance (on application and subject to approval).
9. Research staff at ARI are expected to participate actively in the life of the Institute, including attendance at seminars, conferences and ARI social events.
10. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us. Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCESS

Please submit the following documents in one (combined) PDF and attach it under the CV column in the system:

1. Curriculum Vitae.
2. Synopsis of the proposed research project (maximum of 5 single-spaced pages).
3. At least one short sample of published work, preferably in English.
4. Please indicate the name and contact details of at least 2 referees in your application.

Closing date for applications is 26 July 2024. Please note that no extension will be given.

ADDITIONAL IMPORTANT INFORMATION

1. Only fully completed applications will be considered.
2. All materials including research proposal (including if any, initial ideas for a research grant application) and CV must be submitted through our online application system.
3. As we receive high volume of applications, we strongly encourage you to apply well before the closing date.
4. We regret that only successful candidates will be notified (via email). Candidates who do not hear from the University within 10 weeks after the closing date may assume the position has been filled.
5. Any offer of appointment is conditional on approval by the National University of Singapore (NUS) and the Ministry of Manpower granting you an Employment Pass or other applicable work passes.

Contact list for further enquiries

For research related queries, do contact (via email) the Cluster Leader of the STS Cluster directly.

working days: 4 days (2 days off) or 5 days (1 day off)

Working hours: 12 hours shift

Armed Role: $3,700 to $4,400

Unarmed Role: $2,700 to $3,300

Bonus: $35,000 (paid in tranches)

Job Duties:

- Provide protection/escort services for VIPs or business partners

- Perform security enforcement and screening duties

- Handle traffic, crowd, and access control

Requirements:

Minimum qualifications: N Levels / O Level / WPLN 5 x Level 5

*Able to start work within short notice will be highly advantageous.*

Please be notified that only shortlisted candidates will be notified

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: YEO AHN AHN

EA Personnel No: R22109014

EA License No: 21C0845

Summary:

• Basic up to $3000
• Performance bonus up to 3 months
• 2 days WFH after confirmation
• Flexi dollar $800 per annum
• Location: Tuas (free transport provided daily from MRT station)
• 5 days work week, 8.30 - 5.30pm

Key Responsibilities:

• Maintain an up-to-date billing system
• Generate accurate invoices and send to customers in a timely manner
• Follow up / collect payment and perform reconciliation
• Monitor customer accounts for non-payments, delayed payments, or irregularities and take appropriate actions
• Maintain accurate and updated customer records in the database
• Prepare financial reports and analyse accounts receivable status
• Other relevant ad hoc duties assigned by finance manager

Key Requirements:

• Min 1 year of relevant working experience especially in AR
• Good knowledge of AR and general accounting principles

Interested applicants, please submit your updated resume in MS Words / PDF format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be informed that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

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

Job Responsibilities:

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

Job Requirements:

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

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

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

Job Responsibilities:

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

Job Requirements:

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

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

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.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

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