265 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" research jobs at National University of Singapore
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with minimal supervision and also collaborate with others. Applicants with prior writing experience are encouraged to submit a portfolio with their application documents. More Information Location: Kent
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fixed term contract. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Biomedical Engineering Employee Referral Eligible: No Job requisition ID
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responsibilities will include: Prepare biological samples for TEM, including fixation, staining, sectioning, embedding, and mounting. Perform TEM imaging and support data acquisition and basic image analysis
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with the project team members or external parties on such matters. There will be opportunities to be involved in empirical research and/or data analyses that are central to the project. Qualifications
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; Engineering design, fabrication and procurement of laboratory instruments and fixtures. Maintain trial database, should be able to analyse data through Statistical Procedures (appointed person will be
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, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl@nus.edu.sg for further details and to arrange
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required by the research component of the project. Independently analyse complex data sets. Write and review research papers, present research outcomes, conceptualise new ideas and develop plans
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl