447 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" Fellowship positions in United Kingdom
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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and training in generic transferable skills organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk
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. These fellowships are fixed term for 5 years and are an excellent stepping-stone to establishing an independent research career and gaining a full-time permanent academic position. FSE and Rapiscan (https
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-09995. To apply, please upload a current CV
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LinkedIn Learning, access to library facilities, salary sacrifice scheme. 34 Days Annual Leave plus 5 Public Holidays. This role is not eligible for visa sponsorship. Information on other visa options is
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, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods
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antagonists for scientific investigation of the P2Y2 R (Conroy et al., 2018 (https://doi.org/10.1021/acs.jmedchem.8b00139 ); Knight et al., 2024 (https://doi.org/10.1021/acsmedchemlett.4c00211) ). The role
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benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home BCAST is a speciality research centre focusing on solidification and wider metallurgical research with
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and