336 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions in Singapore
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and Electronic Engineering, Nanyang Technological University. Key Responsibilities: Establish a theoretical framework to study the charge generation and transport in tribovoltaic processes using
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, Duke-NUS Medical School, Singapore is looking for candidates with a PHD in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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The Asia Research Institute (ARI), National University of Singapore (NUS), invites applications for ONE Postdoctoral/Research Fellow to join the NurseTracs project team. The successful applicant is expected
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PhD in Medicine, Pharmacology, Biochemistry, Life Sciences, or a related field A strong interest in aging biology and demonstrated experience in designing and conducting interventional studies in humans
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communication and collaboration skills The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis
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challenges in multidisciplinary subjects Excellent team player who is capable and willing to provide supports in a dynamic and interdisciplinary environment The College of Science seeks a diverse and inclusive
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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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Fellowship (Singapore, 2024). Research Interests: Process Systems Engineering Energy Systems Engineering CO2 capture and utilization H2 production Project Title: Machine Learning assisted Design and
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, behavioural science, and digital health technologies. Candidates will have the opportunity to engage with large-scale, high‑resolution datasets derived from wearable devices, sensors, and other digital health