425 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship research jobs in United Kingdom
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to learn from others is essential. The School values diversity and is committed to equality of opportunity. The School of Chemistry holds a Silver Athena SWAN Award in recognition of our commitment
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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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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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/drc/ ). About the role The role will contribute to on-going research at the UCL Hawkes Institute to develop advances in computational modelling of neurodegenerative disease, machine learning, and big
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support staff wellbeing with work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources
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thinking. For further information about this position and to apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and
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and a cover letter detailing how your skills and experience match the requirements of the role Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408703/research-fellow-for
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to start from June 2026 (by agreement). For informal enquiries please contact Dr. William King W.L.King@soton.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408702/research
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive