243 data-"https:"-"https:"-"https:"-"https:"-"https:"-"P" Fellowship positions in Singapore
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interdisciplinary team and contribute to joint research efforts. Utilize state-of-the-art core facilities to support experimental work. Analyze and interpret data and contribute to scientific publications and reports
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CRISPR Perform wet-lab experiments on RNA editing and the ADAR enzymes Analyze data and prepare reports and presentations Write and publish high-impact journal papers Guide graduate and undergraduate
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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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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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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