You will be part of the research team involved in various clinical projects.

You will work closely with the study Principal Investigator and other team members and perform the following:

• Act as the key contact with study subjects on behalf of the research team; approach potential subjects to explain the project aims and plan in layman terms; address their concerns and questions and obtain informed consent
• Schedule subjects for study visits and assist the investigators in monitoring the subjects’ well-being
• Ensure compliance with protocols and maintain proper documentation
• Draft reports for submission to relevant authorities

Job Requirements

• Bachelor’s Degree in Nursing / Medical Technology / Health Science / Life Science / Pharmacy and preferably 2 years of relevant experience
• Must be fully vaccinated against Covid-19

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 Research Assistant for “Machine learning for Cognitive AI for biomedical sciences” in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. More information on the department is available at https://medicine.nus.edu.sg/medoph. Appointments will be made on a 1-year contract basis 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, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The RA’s principal role will be to work in computational project such as modeling building and algorithm development.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Independently conduct machine learning in medicine or fundamental machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a Bachelor’s or master’s degree in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of machine learning or biomedical informatics;
4. have experiences in the fundamental machine learning or machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

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 to this job portal.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Ophthalmology

Employee Referral Eligible: No

Job requisition ID : 22967

Full Time Tuition Teacher

• Working Day: 5 days (Mon and Tue off)
• Working Time:
  Wed-Fri 3.30pm-10pm ; Sat 9am-8.30pm ; Sun 9am-6.30pm
• Salary: $3000 - $6000 (Depends on Experiences)
• Working Location: Jurong West

Responsibilities:

• Prepare lessons and worksheets.
• Assessment of students' work.
• Contribution to curriculum development.

Primary school level: Math & Science

Secondary school level: Math & Science

Junior College level: Math & Science

Requirements:

• Candidate must possess at least Bachelor's Degree/Post Graduate Diploma/Professional Degree in any field.
• At least 1 Year(s) of working experience in the related field is required for this position.
• Able to work on weekends and Work locations.

Interested personnel kindly contact WhatsApp :+65 9299 4753 (Marcus)

OR

Email to : [email protected]

Tan Meng Liang Reg No: R23115923

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

A Bioinformatician position is available in Dr Jeyasekharan's lab to assist with the analysis of data generated through spatial analytics platforms, along with correlative biostatistics on annotated clinical data.

Dr Jeyasekharan's research aims to understand regulators of immune clearance of cancer cells following genotoxic therapy, with a focus on the use of multiplexed spatial imaging assays to define these phenomena in clinical samples of cancer. You may refer to https://csi.nus.edu.sg/researcher/anand-jeyasekharan/ for more information

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• To process and analyse data generated from spatial analytics platforms e.g. Lunaphore Comet, Akoya PhenoCycler, NanoString Digital Spatial Profiling and STOmics Stereoseq, applied to cancer tissue.
• To perform general bioinformatics-related tasks including: Sourcing, downloading, organizing and analysis of microarray, RNAseq, scRNAseq, and spatial analytics data from publicly available databases.
• To assist the PI and laboratory personnel with biostatistical analyses correlating phenotypes of interest with clinical parameters such as stage, risk categorization, survival
• To harmonize multiple clinical datasets and perform metanalyses

Qualifications

• Master’s Degree in Biomedical Informatics/Bioinformatics/Biostatistics, or related area with relevant research experience and training.
• Must have experience and expertise with processing and analysis of data generated from spatial analytics platforms.
• Proficient in statistical techniques commonly used in biomedical research (including Regression Analysis, Survival Analysis and Multivariate Statistical Analysis)
• Proficient in programming languages for bioinformatics/ statistics (R, Python), and in machine learning approaches
• To be a team player with the ability to work collaboratively with other members of the lab.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Engineer II. The RE II will carry out research project for industrial robot controller and applications with open source environment ROS2.

Key Responsibilities:

• Responsible for developing ROS2 controller application & AI software for industrial requirements.
• Responsible for promotion to and coordination with industry partners both locally and internationally
• Assisting the team for robot system integration with ROS2 controller

Job Requirements:

• Master in Robotics from Mechanical Engineering / Electrical Engineering / Computer Engineering
• Familiar with industrial manipulator modeling, control, or AI techniques for robotics
• Good hands-on experience on industrial robot programming
• Familiar with C/C++, ROS, Linux OS, Windows OS, and other similar libraries and software tools
• Good robot system integration experiences

We regret that only shortlisted candidates will be notified.

The Clinical Research Coordinator functions as part of the research team involved in various clinical research projects.

You will act as liaison between subjects and members of the research team, obtaining relevant information by interviewing subjects and explaining aims and plan of the project in layman terms, address their concerns and questions and arranging for their informed consent.

You will schedule subjects for visits to clinic for the required tests and evaluations; Collect their samples and assist the investigators in monitoring the subjects’ well-being.

You will have to ensure compliance with protocols and schedules of evaluation, compile relevant patient data and maintain proper documentation.

You will provides study protocol specific training to delegated staff and provide on-job-training for new junior staff. You will assist in Quality Control & Quality Assurance activities, such as department study internal monitoring and department audit/ inspection.

You will assists study sponsor or Principal Investigator in the study submission to IRB or HSA; oversee all study subject-related issues, timely report all safety events according to sponsor, IRB and regulatory authorities requirements.

Job Requirements :

• Bachelor’s Degree in Nursing/ Medical Technology / Health Science / Life Science / Pharmacy with relevant academic certification
• Minimum 2 years of relevant experience
• Knowledge of MS office software
• Bilingual and/or knowledge of local dialects desired
• Fully vaccinated against Covid-19

COMPANY DESCRIPTION

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

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

RESPONSIBILITIES

• Understand the internal working mechanism of embedded virtual machine in Android malware
• Design and implement a deep learning-based malware detection system
• Evaluate the system with respect to core metrics such as effectiveness and efficiency
• Write scientific report about the work

• Minimum Bachelor’s degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an institution of higher learning
• Minimum 2 year of relevant research experience in cybersecurity or machine learning
• Proficiency in programming software/languages such as C and Python is required
• Deep understanding and know-how on Android or Linux
• Working knowledge of deep learning techniques• Good analytical, technical and problem solving skills
• Applicants with research publications in security area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

We are looking for a highly motivated and talented individual with a passion in cancer genomics, biology, and radiation research to join the Tan Chin Tuan Laboratory of Optical Imaging, Photodynamic, and Proton Therapy - Precision Radiation Oncology Programme (PROP). The scope of the projects conducted under the premise of PROP includes 1) early- and late-phase clinical trials; 2) cancer genomics and data science; and 3) translational cancer and radiation biology. For this role, you will be mainly working with the Principal Investigator (PI) and the research teams under Theme 2. The projects involve studying cancer genomics of two main cancers, nasopharyngeal and prostate cancer, and the mechanistic pathways involved or identification of novel biomarkers for radioresistance. Samples from consented patients will be used for next-generation sequencing and/or microarray to generate “big data” for further analysis by our data scientists. You will be involved in inter-departmental collaborations with oncologists, pathologists, scientists, and local and international collaborators.

You will participate in the following activities:

- Identify and study the mechanistic pathways involved in radioresistant cancers.

- Design and optimise new experiment protocols when necessary, e.g. functional validation of novel biomarkers.

- Lead and mentor junior staff in sample processing, experiments, data analysis, and database updates (Senior Research Officer).

- Actively engage internal clinical and data science teams as well as external collaborators to ensure alignment with overall research goals.

- Participate in research activities, lab meetings/presentations, manuscript preparations, and audits.

- Maintain inventory and purchase reagents, consumables, and equipment when required.

Job Requirements:

- B.Sc. degree in Biomedical/Life Sciences, or related fields.

- Preferably with experience in molecular biology.

- Previous experience in cryosectioning, paraffin sectioning, IHC staining, H&E staining, blood sample processing, western blot, and DNA/RNA extraction for next-generation sequencing will be a plus.

- Previous experience in handling small animals, eg. SC/IP/IV injections will be advantageous.

- Strong technical wet lab skills, able to troubleshoot, and meticulous in data analysis/experimental design.

- Leadership, strong initiative, and good communication skills are necessary.

- Good memory, strong organization, and must be able to work in a team.

- Analytical, self-confident, and mature personality.

- Responsible and passionate about oncology clinical research.

- Able to work both independently and with other team members under pressure and tight deadlines.

The shortlisted candidates will be contacted. Interested candidates should send in your curriculum vitae with full contact information of three referees.

We are seeking a highly motivated Research Fellow to join the Department of Medical Oncology, National Cancer Centre Singapore (NCCS) and Institute of Molecular and Cell Biology (IMCB), A*STAR, Singapore.

You will be part of a large collaborative project involving clinician-scientist, research fellows and clinical coordinators to profile the transition of lung cancers across different malignancy stages using bulk, single cell, and spatial RNA-sequencing technologies. You will aim to resolve the evolution and resistance of non-small cell lung cancer and implement correlation statistics with clinical variables.

You will lead on;

• Implementing and optimising existing computational tools for high throughput single-cell and spatial transcriptomic datasets at scale.
• Data interpretation and management for publications and grant reports.
• Establish novel genomics and bioinformatics tools for multimodal data integration.

Requirements:

• Doctor of Philosophy (Ph.D.) in computational biology, bioinformatics, statistics, genomics or related technical discipline.
• Demonstrate proficiency in R or Python and Unix/Linux shell scripting.
• Experience with Docker and/or Singularity containerized jobs.
• Experience in using cloud computing infrastructure.
• Good publication records, with at least first author publications in high quality journals.
• Excellent communication skills and the ability to work independently.
• Excellent problem solving and troubleshooting skills.
• Demonstrate interest in cancer biology and high resolution genomics.

Note: Finalised candidate will be hired under A*STAR.

We are currently working with a startup client from the gaming industry; looking for a Research Engineer with relevant experience to join them.

Research Engineer, Nature Language Process for Human Cognition and Action

Responsibilities:

• Apply research to advance technology of deep image/video/text generation for applications in game content creation and language agents toward game simulation
• Deliver advances in downstream experiments or demos using the application of models

Requirements:

• Ms degree in computer science, artificial intelligence, cognitive psychology, robotics with 1+ years of experience with at least one automatic differentiation framework (PyTorch, Tensorflow, etc)
• Primary interest in large language model application delivery, and first-authored publications at leading workshops, conferences, or journals is preferred

Other Info:

• Salary: $8000 + AWS + performance bonus
• Employment Type: Permanent
• Work location: Orchard Road

EA Personnel Registration No: R1113411

The National Institute of Education invites suitable applications for the position of Research Fellow on a 4 years contract at the Natural Sciences and Science Education Academic Group.

Project Title: Fusion Science for Clean Energy: Gamma-ray Spectroscopy diagnostic for WEST

Project Introduction: As part of our Fusion Science for Clean Energy programme, we have two openings for Research Fellow, to undertake experimental research on Runaway Electron (RE) beams in the WEST tokamak and in a dense plasma focus device using high-rate gamma-ray spectroscopy. RE beams typically occur during tokamak plasma disruptions and in pinched plasma disruptions in dense plasma focus devices. Bremsstrahlung scattering of these energetic electrons orbiting within the machine produce gamma-rays (of energy up to ~20 MeV) – making Gamma-Ray Spectroscopy (GRS) one of the most essential diagnostics for experimental studies of RE beams. Because they can have a large amount of energy, RE beams represent a serious risk of damage to the tokamak. Moreover, this risk increases as the size of machine increases. Consequently, research on RE beams is becoming increasingly important as the size of tokamaks will likely continue to increase over the coming decades. The GRS diagnostic measurements planned for WEST are aimed at understanding and minimizing the damage risk posed by RE beams. GRS diagnostics will be developed and tested initially in Singapore on a dense plasma focus device which also produces gamma-rays due to plasma instabilities.

Requirements

Essential

• A PhD in Physics or Engineering with a strong background in pulsed power systems, and/or plasma/x-ray/gamma-ray diagnostics.
• Strong experience in handling vacuum system, high voltage (15 kV) and high current (200-300 kA) systems.
• Strong experience in development, operation and optimization of plasma devices and associated diagnostics.
• Experience or exposure to neutron, charged-particle and gamma-ray radiation measurements.
• Good written and verbal communication skills with evidence of proven writing skills from research papers and research reports.
• Demonstrated ability to analyse and interpret experimental results.
• Demonstrated ability to conduct independent scientific research and prepare scientific data for publication, and successfully produce impactful publications.
• Have excellent written and verbal communication skills.
• Able to travel internationally (especially between Singapore and France).
• Will need to help in all aspects of project management from procurement of equipment and consumable to progress/final report writing.

Preferred

• Good knowledge of high-voltage high-current and radiation safety issues
• Good organizational skills.
• Able to work within given deadlines with an eye for details.
• Able to work independently with minimum supervision.
• Able to help in supervision of Ph.D. students.

Responsibilities

• Operationalize and optimize dense plasma focus device (DPF) for gamma ray production.
• Assist in development of Gamma Ray Spectroscopy (GRS) diagnostics and implement it on Plasma Focus Device in NIE/NTU.
• Work on plasma and charged-particle diagnostics on plasma focus device to correlate the gamma ray emission with other emission characteristics of plasma focus device.
• Assist SRF in transfer, setup and operation of GRS on WEST Tokamak in France.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Job Req IDs: R00014860 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Natural-Sciences-and-Science-Education-Academic-Group--NIE-_R00014860) & R00014862 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Natural-Sciences-and-Science-Education-Academic-Group--NIE-_R00014862)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.