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: Applicants should have or expect to achieve, at least a 2:1 honours degree (or equivalent) in STEM or a related subject area. A relevant Master’s degree and/or experience in machine learning will be
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PhD Studentship in Computational Modelling and Optimisation of Plasma Systems We invite applications for a fully funded PhD studentship focused on the computational modelling and optimisation
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Funding Information This four-year PhD project is funded by the Leverhulme Trust and is open to UK and international applicants. Funding includes tuition fees and an annual tax-free allowance at the UKRI
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This is a 3.5-year full-time studentship and the successful applicant will receive a tax-free annual stipend and home tuition fees paid. Vision We are seeking a PhD student that is motivated in system
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The University of Westminster and the National Gallery are delighted to invite applications for this Collaborative Doctoral Award, part of the National Gallery’s Collaborative Doctoral Partnership
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contact Professor David Bek All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant
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billion per year. AF increases the risk of stroke and vascular dementia. Oral anticoagulation reduces stroke risk by around 63%, but it carries bleeding risk and does not explain why thrombus forms in some
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physical experiments. Publishing research findings in peer-reviewed journals and conferences. Collaborating with Kinetic AI to align academic research with real-world applications. Supervisory Team
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, world-class training across materials science and chemical processing. You will gain hands-on experience with state-of-the-art facilities, including Inductively Coupled Plasma Optical Emission
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that link between processes, microstructures and function. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or