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laboratory work and will focus on the successful co-ordination of sites and public engagement activities. The successful applicant will work with Prof Morling alongside the recruiting NHS sites and the team
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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. The successful candidate will work with Prof Meghan Gray and Prof Frazer Pearce and members of the Nottingham Astronomy Group. They will also be expected to interact with international collaborators as part of
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of two referees, should be sent directly to Prof. Tanvir Hussain (tanvir.hussain@nottingham.ac.uk ). Closing date: Until Filled View All Vacancies
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. The student will be supervised by Prof James Goulding (Nottingham University Business School) and Prof Tracey Thornley (University of Nottingham), Dr Alex Elliot, Dr Nicola Love and Prof Charles Beck (UKHSA
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placements of up to a month in the partner institution’s laboratories. Supervisory Team: Prof. Derek Irvine, Dr Adam Dundas, Prof. Morgan Alexander Funding notes: The studentships are fully funded for 42
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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will work with and under the mentorship of Prof Nicolai Kraus. Apart from contributing to existing research projects, they will also be expected to also advance their own independent research career
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-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is common decision algorithm for leaving across species and what that algorithm is. You will