158 computer-algorithm-"Prof"-"Washington-University-in-St" positions at University of Nottingham
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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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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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strategies. The University of Nottingham is leading a large programme grant ‘Public Health Intervention Responsive Studies Team’, funded by the NIHR until 2027. PHIRST-LIGHT is a collaboration between the
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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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developed. This project is available from 1st October 2025. Applications accepted until post is filled. Informal inquiries can be made via email to Prof. Chris Bennett (c.bennett@nottingham.ac.uk
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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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a variety of machine learning algorithms trained on these data and, most crucially, will develop and implement techniques for computing the uncertainty in the prediction. The algorithms developed in
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The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further information please email Prof. Michele Degano: michele.degano
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research