70 computer-programmer-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of Nottingham
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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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Recognised Researcher (R2) Country United Kingdom Application Deadline 29 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme
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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 role-holder will work dynamically within the Rights Lab’s Law and Policy Programme to support collaborative research projects focused on antislavery and anti-trafficking governance, focusing
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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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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computational arm of a Leverhulme Trust-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and international collaborators
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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
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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outcomes over time using multi-state models, accounting for association amongst processes and across time. The role will involve both theoretical and computational model development, together