783 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at National University of Singapore
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applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its
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recruiting a full-time Research Assistant (or Associate) to undertake pathogen genomic analysis. The selected candidate will analyse whole-genome sequence data from the parasitic liver fluke Opisthorchis
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Lin School of Medicine, NUS that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians
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disease aetiology in urban Asian settings, and the development of improved preventive and therapeutic measures for Singapore and other Asian populations. JOB PURPOSE This role primarily involves the data
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activities and/or the management and analysis of complex research data. These positions offer the opportunity to work in a collaborative academic research environment at the intersection of public health
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seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems. We invite applications for a Research Associate position in
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intelligence, neuroimaging, data science, and public health to advance early detection and prevention of cognitive decline and ageing-related brain disorders. The research team works closely with local and
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programmes. Collect and analyse data on education systems in Singapore and internationally to support NUS’s overall admissions strategy. Collaborate with internal and external stakeholders to ensure a smooth
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termination visits (TV) at assigned clinical sites and generate visit reports. • Monitor the progress of clinical study sites participating in a clinical study, and to assure the protocol is followed and data
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Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven