468 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" Fellowship positions in United Kingdom
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to a flexible working approach. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407130/research-fellow-in-… Requirements Additional Information Work Location(s) Number
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Please apply on the University website with your CV and cover letter also answering the criteria questions. Further details Job Description Where to apply Website https://www.timeshighereducation.com
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
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General enquiries: Email: recruitmentservices.people@manchester.ac.uk . Technical support: https://jobseekersupport.jobtrain.co.uk/support/home 0161 850 2004 This vacancy will close for applications
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details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is
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of psychological research to legal practice Why Apply? The MSCA Postdoctoral Fellowships support researchers' careers by providing opportunities to gain international experience, acquire new skills, and expand
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An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits
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10 days professional development activities per year (pro-rata). Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407559/research-fellow-in-… Requirements Additional
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founded on the distinctive functionalities of this novel state of matter (see, for example, Nature Photonics, http://dx.doi.org/10.1038/s41566-024-01557-1 ). We are seeking a creative and capable researcher
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for MND which could be translated into the clinic. The idea is to use cutting edge machine learning to create clinically actionable predictions such as the time from diagnosis to requirement for a