466 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship research jobs in United Kingdom
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facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The Centre for Aeronautics, Propulsion and
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gut-resident macrophages and T cells contribute to synucleinopathy, building on recent discoveries from the lab (De Schepper et al., Nature 2026; ; https://www.nature.com/articles/s41586-025-09984-y
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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present organization) must be indicated. Application forms may be obtained at https://sta.uwi.edu/jobs/ in the Faculty & Staff, Staff Vacancies section. Further particulars including remuneration package
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details on the lab can be found at https://www.sysneurodevlab.org/ The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teaching and life learning
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of Aberdeen to work on a project “Predicting Response in Triple Negative Breast Cancer Using Machine Learning”. We seek to appoint a creative and motivated individual to use machine learning (ML) to identify
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to attend workshops 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
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and government partners. We are looking to recruit a passionate and committed researcher to drive forward our work on simulating possible transitions away from individualised car ownership. This work