130 programming-"https:"-"https:"-"https:"-"BioData" positions at University of Nottingham
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to
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benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to
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Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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capture data from these; establish new concepts, methods and tools; prepare and deliver publications; participate in the community programme of events; and undertake visits and placements at industry and
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across work packages. You will be expected to plan and conduct your own analyses using available tools, to adapt existing methodologies and models, and design new models that improve our understanding