2,951 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" Fellowship positions
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Career Development Research Fellowships for full-time research offered by St John’s College to early career researchers who have recently completed or are close to completion of a doctorate (and
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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this need by fostering the development and productivity of young scientists who have potential to make significant contributions to MS research and help ensure the future and stability of MS research
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The Society offers postdoctoral fellowship grants to unusually promising recipients of M.D., Ph.D. or equivalent degrees when it appears that the program of training to be supported by the grant will enhance the likelihood that the trainee will perform meaningful and independent research...
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The MRC Centre for Medical Mycology (MRC CMM) seeks an experienced assay development scientist to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical
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About the role A Clinical Research Fellow is wanted to develop a Controlled Human Infection Model (CHIM) for Hepatitis C Virus (HCV). This model would be the first-ever CHIM for a blood-borne virus
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2nd September 2025 Languages English Norsk Bokmål English English Faculty of Biosciences, Fisheries and Economics PhD Fellow in Impact of Temperature on Embryonic Development of the stress axis in
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialization and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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successful candidate will primarily work on the development and enhancement of the OASIS model, contributing to new physical parameterisations, numerical algorithms, and/or performance optimisation. They will