1,205 machine-learning "https:" "https:" "https:" "https:" research jobs in United Kingdom
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service’s Points Based System. Therefore, BU will not be able to sponsor individuals who require permission to work to carry out this position. For more information, please visit https://www.gov.uk/skilled
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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and
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. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies are planned. One will use a
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in computer security. In particular the work will seek to deliver novel contributions that enable such systems to safely continue to operate even when they have been partially compromised and
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. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https
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at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful applicants will work to understand
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visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Assistant or Research Fellow in the area of sustainable built environment. The successful applicant will
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experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or
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for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite