28 algorithm-development-"Prof"-"Prof"-"Prof" research jobs at UNIVERSITY OF SOUTHAMPTON
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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. This role will contribute to the project by: Refining the flow battery design for manufacture and installation in Nepal Developing the control system/BMS for integration with a wider energy management system
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them. The selected candidate would disseminate their research by publishing in top-tiered
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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the development of new anchoring technologies for floating offshore wind turbines. Your role will focus primarily on the development of simplified computational models, and you will contribute
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The Senior Research Fellow will lead the development of structural and computational approaches to engineer antibody-modifying and antibody-degrading enzymes for applications in biology and
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of Southampton, on a fixed-term contract of up to 18 months. The Research Fellow will support the development of new anchoring technologies for floating offshore wind turbines. Your role will focus primarily
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position within a Research Infrastructure? No Offer Description The Senior Research Fellow will lead the development of structural and computational approaches to engineer antibody-modifying and antibody