216 programming-"Multiple"-"Prof"-"Washington-University-in-St" Fellowship positions in Singapore
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simulation, and data analysis. Game theory and mathematical programming. District cooling system and renewable energy technologies. • Track record of good and relative publications in reputable
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researcher will engage in both independent and collaborative research, driving innovative projects at the intersection of statistics and biomedical sciences. The successful candidate is expected to plan
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hosted within established research labs at CSI Singapore to develop their independent research programs. They will receive a competitive base salary of up to SGD$93,000 per year (not including benefits
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-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 multi
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the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens and
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the artistic and scientific excellence of the NUS community towards research excellence in this emerging field. The Centre aims to establish world-class music programs and interventions to support crucial
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CIL’s expansion of its programme on international environmental law with an emphasis on climate change law and policy. The objective of the position is to engage in research on emerging issues related
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming
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/micro-fabrication Experience in nano/micro-fabrication is highly desired Programming skills (e.g., Python, Matlab) Ability to work as a team and communicate effectively More Information Location: [[Kent
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technologies, and decarbonization strategies. Capable of working independently and in collaboration with team members. Experience in energy systems modelling, techno-economic analysis, Python programming