130 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at National University of Singapore
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information on benefits, about working in NUS and living in Singapore, go to 'Why Join Us' . Application Process To apply for this position, please combine the following documents in 1 PDF and attach it under
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valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics
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, pupillometry, and/or gaze tracking (including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent
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or polymer materials and their applications in sustainability. The candidate is expected to have a strong background in Synthesis, or Materials Science. More Information Location: Kent Ridge Campus
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information for at least two academic referees Scientific enquiries can be sent to Dr Yin Loon Lee at yinloon_lee@asrl.a-star.edu.sg . We regret that only shortlisted candidates will be notified. More
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of experimental research 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
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containing doi links), The names and contact information of 2-3 references. Applications will be evaluated upon submission on a rolling basis until the position is filled. Only shortlisted candidates will be
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean
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instability and altered RNA metabolism in ALS. This involves close collaboration with interdisciplinary teams, including experimental biologists and computational data scientists, to design and execute