387 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Fellowship positions in Singapore
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The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our understanding of emerging infections through world-class research that integrates immunology, infection
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meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics
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. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education. Key Responsibilities
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publication strategies, mentor researchers, foster collaboration with academic and industry partners, and ensure the successful execution of research programs in advanced communication systems. Who We're
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, fabrication, characterization, and application of advanced nanophotonic materials and devices. Programme and manage research activities, including experimental planning, device design, nanofabrication, optical
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framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning
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students associated with the project. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD’s degree in
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The Signature Research Programme in Health Services Research & Population Health (“HSRPH”) in Duke-NUS Medical School is a centre of academic excellence for research and education of health systems
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models, and/or terrestrial biosphere models. 4. Proficiency in at least one programming language, such as MATLAB, R, or Python. 5. Ability to work effectively in an interdisciplinary and collaborative
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. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka