135 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship positions at National University of Singapore
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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems
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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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Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track record
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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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closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems, economics
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practices in the fields of biology. Principles, techniques and terminology used in cancer biology. Methods of scientific research and relevant scientific theories. Appropriate computer operations, software
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities