242 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in Singapore
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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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the management of large datasets (in the excess of 21,000 data points) and advanced data analyses, including Hierarchical Linear Modelling and Growth Modelling. Additional responsibilities include providing drafts
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets
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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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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
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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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an emphasis on technology, data science and the humanities. The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established at the Lee Kong Chian School of Medicine. It