524 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships in United Kingdom
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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the Institute of Health Informatics. The studentships will commence from Oct 2026. About the project Successful applicants will work with the programme coordinator to identify a project and a supervisory team
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” programme (https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&edition=2025&id=489 ) with a start date of 14 September 2026 (a starting date of 1 May 2026 can also be considered). In
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risks. Although our capacity to plan for many hazards has greatly improved in recent decades, atypical events can still present severe and unexpected impacts. These events may be marked out by
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project Successful applicants will work with the programme coordinator to identify a project and a supervisory team working with academics and clinical scientists from UCL and UCLH. The projects will cover
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. These should be submitted via email to Dr Taresco and through the University of Nottingham’s online application system (https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx ), selecting “Chemistry
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developer and user meetings. You will acquire skills in programming (e.g. Python, FORTRAN, bash) development of quantum chemistry software and stand-alone tools a wide range of computational and quantum
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to work with Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project is part of the Horizon Europe Eu Marie Curie Network MetaExplore
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elaboration of biocatalysis for synthesis. A doctoral position is available for 3-years to work with Professor Florian Hollfelder at the Biochemistry Department of Cambridge University (https
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow