477 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in United Kingdom
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upper second-class undergraduate degree in any of Engineering, Materials Science, Computer Science, Physics, Mathematics. Excellent English written and spoken communication skills. It is desirable
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the future of energy for homes in the UK. Aim You will have the opportunity develop an innovative EMS design solves existing challenges. This new architecture will reduce costs, minimise physical footprint
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-motivated candidate with a 1st or high 2:1 degree in Engineering or Physical Sciences or a related science discipline. Prior experience in thin-film deposition, microscopy, spectroscopy, electronics
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The PhD (Finance) program at Durham University provides rigorous research training that prepares students to become leading experts in their chosen field. Faculty members in the Finance Department
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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for feedstock characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics If you are interested in this project, please send your CV and cover
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Engineering, Physics or related discipline. To apply, please contact the main supervisor, Dr Dumanli-Parry - ahugumrah.parry@manchester.ac.uk . Please include details of your current level of study, academic
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: structured environments, such as the synthetic cells; environments with competing interaction partners; and systems with hybrid RNA-DNA duplexes. You should have a degree in a subject related to physical
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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and