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well as postdocs and PhD students. Although STFC funding decisions are still not finalised, we hope to have funding confirmation in time to make offers well before the January 30th agreed deadline for HEP postdocs
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the evolutionary, physiological and clinical consequences and drivers of this paradoxical behaviour You should have a PhD in a relevant discipline and an eagerness and ability to undertake interdisciplinary
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Support the team’s visibility through case studies and outreach Contribute to grant applications and mentor PhD and project students You will work closely with the SEISMIC Facility, the UK’s national hub
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team’s visibility through case studies and outreach and contribute to grant applications and mentor PhD and project students. In this role you will work closely with the SEISMIC Facility, the UK’s national
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. Essential Criteria PhD qualified in relevant subject area (or pending results/near completion) Experience applying multi-modal models specifically in medical or clinical domains. Strong knowledge of MRI data
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national and international conferences. Mentoring undergraduate, masters, and PhD students within the Department of Neuroimaging. Collaborating with the wider team in order to achieve the aims of the project
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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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, Fergusson, Hartnoll, Pajer, Quevedo, Reall, Santos, Shellard, Sperhake, Wall and Warnick) and research staff and PhD students. There are close links with the Kavli Institute for Cosmology (www.kicc.cam.ac.uk
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale