226 mathematics "NTNU Norwegian University of Science and Technology" PhD scholarships in United Kingdom
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, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International
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Honours degree in Computer Science, Mathematics, Physics or another relevant discipline. A Masters qualification in a relevant subject area will be highly advantageous. Enthusiasm for research, the ability
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of the following disciplines: Computer Science; Robotics; Engineering; Virtual Reality; Mathematics; Physics. Evidence of publishable standard projects is also desirable. If you are eligible to apply
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: Georgios Mavros Secondary supervisor: James Knowles Entry requirements Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering, Physics, Mathematics, or a
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expect a first class or high 2:1 Honours degree in Computer Science, Mathematics, Physics or another relevant discipline. A Masters qualification in a relevant subject area will be highly advantageous
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needs and individual circumstances. Entry requirements: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mathematics, Physics, Chemistry, Materials Science or
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for vulnerable populations. The ideal candidate has: Bachelor’s degree (first/upper second or equivalent) in Complex Systems, Network Science, Data Science, Computational Social Science, Physics, Mathematics
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, Mathematics or Physical Sciences. Knowledge of numerical solutions of partial differential equations and/or fluid dynamics and good programming skills are essential. A Master degree in a relevant subject would
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audiences, building both theoretical and practical advances with real-world impact. Supervisory Team: The candidate will be supervised within the Division of Games Technology and Mathematics Division by a
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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be