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neuronal activity in rodent models of vascular dementia, with the aim of understanding how this affects white matter. Your skills and attributes for success: A PhD (or close to completion) in neuroscience
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus
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components. The two new research fellows will work alongside a team of applied mental health researchers including the programme leader (Professor in Mental Health Research), a PPIE co-ordinator, 3 PhD
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visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information. About you We are seeking a highly-motivated researcher with a PhD in
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the partnership, the Associate will develop the ability to: (i) model and predict fluid flow and system performance for large-scale systems; (ii) assess how different types of fouling may affect the membranes and
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sustainable commuting options, including a cycle loan scheme, discounted bus travel, and season ticket loans. Access to a vibrant community through our social, cultural, and sports clubs. About You Hold a PhD
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the concepts of transprecise computing to achieve the target constraints on performance, timeliness, power consumption and accuracy and undertake research under supervision within the SWEET research project
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(for 2025/26): £38,784 Candidates are advised that a Research Fellowship is intended for a researcher early in their career. Applicants must be a post-doctoral researcher who has been awarded their PhD degree
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. The ability to work in a team is essential. About you The post holder should embody and demonstrate our core Crick values: bold, open, collegial, in addition to the following: PhD in cell biology or in
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for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records