174 phd-position-in-information-retrieval Fellowship positions at National University of Singapore
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) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell
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their PhD may apply for a Research Fellowship position. Research Fellowship candidates are expected to have built up a publication track record commensurate with the period of time post-PhD. Clear plans
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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recognition in the field. Job Requirements PhD in Computer Science, Mathematics, or a related discipline. At least two years postdoctoral experience. Extensive publication record at leading cryptography and
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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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of Policy Studies (IPS) is a policy research think-tank in the Lee Kuan Yew School of Public Policy, National University of Singapore. The Senior Research Fellow will initiate, lead, and contribute
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, Yong Loo Lin School of Medicine at the National University of Singapore (NUS) is seeking a motivated and experienced Research Fellow (RF) or Research Associate (RAssoc) to join our dynamic team in
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(CALS) at the Faculty of Law, National University of Singapore, is inviting applications from suitable candidates in the field of Asian legal studies to carry out research relevant to our programmes and
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electrolyte and polyanion or oxide-based cathode materials. Project aims to optimize synthesis conditions for scale-up production of solid electrolytes (ceramic and polymer electrolytes) and positive/negative
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comparable estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact