43 web-programmer-developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions at University of Nottingham
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for generating new intellectual understanding/knowledge through the application of knowledge and for developing ideas for application of research outcomes. About the Team The PEMC institute has grown exponentially
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Monaghan (Gastroenterology), and Dr Adam Blanchard (Computational Biology). This is an excellent opportunity to contribute to pioneering translational psychiatry research, while also developing your own
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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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combination of both. This project aims to address this fundamental question, alongside developing rice germplasm and markers to enable rapid trait deployment in breeding programmes for heat stress resilience in
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Applications are invited for a Research Associate/Fellow on an NIHR Invention for Innovation (i4i) Programme-funded project in the Breast Cancer Pathology Research Grou within the Nottingham Breast
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. The purpose of this role will be to have specific responsibility for research, for developing research objectives and proposals for a research project in acute stroke care. You will be expected to plan
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Research Associate/Fellow (Fixed term) We are seeking a Research Associate/Fellow to join a multidisciplinary project funded by BBSRC. The overall collaborative project aim is to develop novel broad
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to identify areas for research, develop research methods and extend their research portfolio. This work is international in scope and covers a wide range of different substantive issues and contexts. About the
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holder will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio within the broad thematic area of anti
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly