162 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Sheffield in United Kingdom
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undertaking research whilst pursuing further training. It offers the opportunity to combine clinical training in infectious diseases with a programme of post-doctoral research, providing 50% clinical and 50
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, delivered across the CDT partner universities. For further information about the CDT programme, please visit the CDT website at https://www.fusion-engineering-cdt.ac.uk/training-fusioneers/programme/ or send
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Overview This NIHR academic clinical lecturer position is an exciting opportunity to combine clinical training with a programme of postdoctoral research, providing 50% clinical and 50% academic time
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consists of 6 members of academic staff, together with 12 PhD students and several postdoctoral researchers. We are a friendly and welcoming group, with an active programme of seminars and a journal club
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) Essential Application/interview Experience with multi-modal medical image analysis Essential Application/interview Strong programming skills and experience with high-performance computing environments
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, numerate subject (such as maths and physics), including Matlab programming. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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Director Dr David Warriner. The Academic Training Lead is Professor Alex Rothman. Further details of the NIHR IAT pathway can be found at: https://www.nihr.ac.uk/explore-nihr/academy-programmes/integrated
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the School of Allied Health Professions, Pharmacy, Nursing and Midwifery (https://www.sheffield.ac.uk/ahpnm ), you will join a vibrant community of teachers and researchers building the discipline of Pharmacy
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)/Neurodegeneration clinical research programme. You will have the opportunity to be part of the NIHR Sheffield Biomedical Research Centre (Translational Neuroscience for Chronic Neurological Disorders) Junior Academy
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marginalization, migration, memory, and mapping’, funded by the Leverhulme Trust – link to the project: https://www.mod-langs.ox.ac.uk/research/101st-kilometre-soviet-marginalization-migration-memory-and-mapping