11 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions at University of Nottingham
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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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candidate will be a veterinary surgeon, with a PhD either completed, or close to completion, have expertise in Python programming, simulation modelling, and data analysis, ideally with experience in
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to plan and conduct your own analyses using available tools, to adapt existing methodologies and scripts, and to design new pipelines and workflows that deliver accurate, reproducible, and timely results
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to plan and conduct your own analyses using available tools, to adapt existing methodologies and scripts, and to design new pipelines and workflows that deliver accurate, reproducible, and timely results
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We are seeking a highly motivated and skilled Research Associate / Fellow to conduct a programme of research on using flat optical fibre sensors to monitor reinforced concrete structures. This work
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to plan and conduct your own analyses using available tools, to adapt existing methodologies and scripts, and to design new pipelines and workflows that deliver accurate, reproducible, and timely results
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We are seeking a highly motivated and skilled Research Associate/Fellow to join an innovative translational research programme focused on childhood brain cancer. Based at the University
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to plan and conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up work for publication. You will ideally have experience
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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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Gerada, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student