306 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" Postdoctoral research jobs in United Kingdom
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Music Centre and St Paul’s Cathedral. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve
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that promote economic welfare. For more information about the Georgetown Center for Business and Public Policy, visit http://cbpp.georgetown.edu . APPLICATION PROCEDURE Application materials should be sent by
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About Us The School of Biomedical Engineering & Imaging Sciences has attracted multi-million pound research funding and collaborates with other universities and Faculties within KCL, the NHS, charitable trusts and foundations, international Universities and industry. The post holder will work as...
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practices. Durham University is committed to the Concordat to support the career development of researchers. For further information please visit the Research Staff web pages on https://www.durham.ac.uk
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(min 0.5 FTE) and fixed term for 24 months from March 2026. The post holder will either be based in the Manor Road Building or at the Faculty of Law, St Cross Building, Oxford. Applications
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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The University of London The University of London is both the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 renowned higher education
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using liquid biopsy next generation sequencing data for cancer diagnostics. About You Must have a strong background in next generation sequencing data analysis/machine learning, cancer and/or genome
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“Quantifying Efficacy and risks of solar radiation management (SRM) approaches using natural analogues”. The project will use novel machine learning-based methods to determine the climate response to a range of