33 phd-position-in-data-modeling Fellowship positions at National University of Singapore
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Please note that only shortlisted candidates will be contacted. Qualifications • A doctoral degree (PhD, DPhil, or equivalent) in Epidemiology, Biostatistics, Mathematical Modelling, Health Economics
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mathematical modellers and epidemiologists at CERM with strong collaborative links within Singapore and across the wider region. Key Responsibilities: • Collate and analyse data from longitudinal studies
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behaviour for use in dentistry. This is not a data-science-only position; prior hands-on experience in the production, characterization techniques of materials, and cell culture is required. Core
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of Singapore (NUS) invites applications for a postdoctoral Research Fellow position in robotics and metal additive manufacturing. The successful applicant will work under the supervision of Asst Prof Meng Xin
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We are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and
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are pleased to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and the
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broader mixed-methods evaluation framework • Support capacity-building efforts for local field teams and partners in evaluation design and data collection Requirements • Master’s degree or PhD in Public
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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well as academics. CIL is soliciting applications for several Post-Doctoral Fellowship positions commencing in August / September 2025. Initial appointments will be for one year (with the possibility of extension
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and