220 data-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" Fellowship positions in Singapore
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field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with
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description; A detailed curriculum vitae; 2 published articles or writing samples; and 3 reference letters. We regret that only shortlisted candidates will be notified. For further information about RSIS
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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). o Familiarity with ROS, embedded controllers, and energy management strategies. o Track record of relevant publications. More Information Location: Kent Ridge Campus
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated and innovative senior research scientist to join our cutting-edge project at the intersection of RNA therapeutics
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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
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dynamics (MD), or ab initio molecular dynamics (AIMD), to investigate polyamide interfacial polymerization, interfacial reactions, or transport mechanisms. • Experience in data-driven modeling or machine