74 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of Nottingham
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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excellent international reputation for high quality theoretical and experimental research funded by EU, EPSRC, BEIS, Innovate-UK and directly with industry. The faculty was the first engineering department in
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of Brewing Science (ICBS) at Sutton Bonington Campus. The role-holder will take responsibility for conducting research, developing research objectives and proposals for a specific project focused on
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Degree (or equivalent) in a related subject area; a PhD (or studying towards). The ability to work in a team and build relationships and collaborate with others both internally. Here are some examples of
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In 2025, the University of Nottingham and King’s College London will launch the new Leverhulme Centre for Research on Slavery in War, funded by the Leverhulme Trust for up to £10 million over ten
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based in the School of Chemistry, University of Nottingham in the group of Dr Katherine Inzani. Candidates should hold a PhD (or close to completion) in materials science, chemistry, physics or similar
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Chemistry or related discipline) or the Business Science Fellow role (candidate have or are about to obtain a PhD in Chemistry or related discipline.). (Title will be ‘Business Science Associate’ where
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will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium
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under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves. You will be able to carry out duties to the highest standard and to evidence
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and