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should hold a Master’s degree in Economics or a related field (e.g., Finance, Psychology, Maths or Data Science), with a foundational understanding of behavioural/experimental methods and/or econometrics
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: Physics / Accelerator and Beam Physics , Accelerator and Plasma Physics , Accelerator Physics , adsorption and layered material physics , all subdisciplinary areas of Physics and Chemistry , Any , Applied
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About Us In a nutshell Institutions & Location Glossary Research Scientific Orientation BIOLOGY CHEMISTRY & BIOCHEMISTRY MOLECULAR CONDENSATES BIOLOGICAL PHYSICS MATHS, COMPUTATION & AI Research
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or applied maths, preferably at master's level. A 2:1 degree can be considered for applicants with prior experience in relevant research areas. Funding This is a self-funded PhD opportunity, therefore you must
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degree in engineering, maths or a relevant discipline, preferably at master's level - in exceptional circumstances a 2:1 degree can be considered. Funding Explore funding opportunities for postgraduate
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(or expect to gain) a First class honours MEng/MSci or higher degree or equivalent in a Computational background: engineering, physics, maths, or computer science. How to apply: Submit your application via our
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If
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Job Description Finished with an MSc in math, but not quite done learning? Are you ready to take the first steps into Applied Mathematics research? Are you curious, ambitious, persistent and quality