33 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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a highly motivated and enthusiastic Early Career Bioinformatician to apply and develop their computational skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate
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Immunology discovery community, and CRUK Centres and Institutes across the UK. The Role We are seeking a highly motivated and enthusiastic Early Career Bioinformatician to apply and develop their computational
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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
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of Aberdeen - https://www.cs.ox.ac.uk/projects/AIHub/ . The programme offers an excellent opportunity for the successful candidate to develop their career in this exciting area in collaboration with some of the
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. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote sites; install instruments, data loggers and transmission systems; and analyse and interpret data. We
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high-quality laboratory research to develop and test novel diagnostic methods for heavy menstrual bleeding. They will work closely with clinicians, research nurses, and study participants to integrate
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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world