22 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:" Fellowship positions at University of Nottingham in United Kingdom
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across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
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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
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are encouraged to discuss the details with the project leads: Dr Emma O’Dowd emma.odowd@nottingham.ac.uk and Professor David Baldwin david.baldwin@nottingham.ac.uk . You will be expected to plan and conduct work
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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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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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We invite applications for a Postdoctoral Research Associate position to advance the 'REMEDY Plus' project, an expansion of a novel, data-driven, decision support system for UK dairy farmers, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated...
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About the role - The role-holder will work collaboratively to support this Rights Lab research project. The role holder will be expected to work collaboratively as part of an interdisciplinary team, as well as undertaking independent research on the topic of risk of human trafficking among...
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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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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm