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Professor, for the discipline- Biostatistician in the Health and Social Sciences Cluster. Applicants should possess: an earned PhD from a reputable university in Biostatistics, and extensive experience in
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Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of Health and Social Sciences experts works with multi-disciplinary teams
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Requirements Minimally possess a Diploma in Life Science or Healthcare related, or equivalent. A diploma in supply chain management or logistical supply management may be considered. Possess at least 5 years of
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The School of Social Sciences is inviting applications for the position of Project Officer. The Project Officer (PO) will join an expanding team to work on projects in the field of Psychosocial
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Familiarity with the Singapore Social Studies curriculum and the Singapore education system would be highly advantageous Excellent interpersonal, communication and technology skills and dedication to academic
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, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and
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degree in computer science or related field Strong scientific publication record Experience in discrete-event modelling and simulation and data-driven applications Excellent programming skills and
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, biomaterials engineering, flow cytometry and confocal imaging. He/she is also expected to guide research students where necessary. Qualifications Possess at least a bachelor’s degree. Knowledge in cancer
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Job Description The job holder is to work with PI and the research team to study urban air quality and associated air pollutants. Qualifications One or more of (but not limited to) the following: A fast learner capable of conducting independent research and proficient literature search, review &...
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: Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc. Background knowledge in signal/data compression, and data-driven and machine learning