29 web-programmer-developer-"https:"-"UCL"-"P" "https:" Fellowship positions at The University of Southampton
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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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We are seeking a talented and motivated Research Fellow to join a multidisciplinary team developing innovative air sterilisation technologies for infection control in future hospital environments
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mechanics including turbulent boundary layers, flow control, atmospheric flows, and diagnostics development. You will join a large and friendly aerodynamics group (http://www.southampton.ac.uk/engineering
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Applications are invited for a Postdoctoral Research Fellow to work in the Williams group. This EPSRC funded project looks to develop and test new photoswitchable anionophores for therapeutic
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(EORTC) Quality of Life Group (QLG), (https://qol.eortc.org/ ), the largest research organisation of its kind whose mission is to improve HRQoL of people with cancer through dedicated research and the
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We are seeking a talented and motivated Research Fellow to join a multidisciplinary team developing innovative air sterilisation technologies for infection control in future hospital environments
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as part of the LSST:UK consortium, you will help develop the infrastructure of the TiDES experiment, its interface with transient alert streams, and have the opportunity to collaborate in exciting
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Research Fellows in E-Textiles We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The positions
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laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with experiences in High Voltage Engineering, or equivalent
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collaborative nature of the programme. Based within the Data-driven Biology Group, the postholder will develop and validate AI and data science tools for multi-cancer risk prediction models using population-scale