118 parallel-computing-numerical-methods Fellowship positions at National University of Singapore
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Research grant application Supervise postgraduate student projects Support the teaching programme in the department and medicine school Main Duties and Responsibilities The Research Fellow will be able
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interdisciplinary team of social scientists, supported by a dedicated group of research assistants. Projects at GAI combine rigorous empirical methods with real-world relevance, offering opportunities to produce
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to critic, test-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics The Research Fellow will join a dynamic
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managing research projects independently and in teams Proven track record of both quantitative and qualitative research expertise Experienced in health services research methods, including survey development
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imaging, head & neck imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS
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, and related subjects Water policies, Water resource management, Water tariff designs, and related topics Well-versed in the following research methods: Designing, and conducting household-level surveys
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Fellow/ Research Fellow ( for the Metabolic Liver Disease Lab in the Department of Medicine, Yong Loo Lin School of Medicine. This role explores functional genomic methods to understand better
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invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of
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Fellow/ Research Fellow ( for the Metabolic Liver Disease Lab in the Department of Medicine, Yong Loo Lin School of Medicine. This role explores functional genomic methods to understand better
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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