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, chemical and biotech industries. If you have a strong background in computational chemistry, physics, mathematics or a related area, then this is the project for you! With access to large collections
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4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in thermal batteries, and to derive new understanding to guide
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with a First Class Bachelor’s Degree in an appropriate field will also be considered. Subject Area Applied Chemistry, Industrial Chemistry, Atomic Engineering, Chemical Engineering, Energy Technologies
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materials that show limited long-range order between layers are particularly exciting because their interlayer chemistry can differ significantly from crystalline materials. This can potentially be tuned via
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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a collaborative network of experts in the field. In this 3.5-year Computational Project you will build a strong foundation in the use of state-of-the-art Computational Chemistry techniques, and you
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to characterize physical processes such as particle settling, and liquid surface texture caused by surface tension effects. You will develop a mathematical model and perform numerical simulations to better
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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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Bachelor’s Degree in an appropriate field will also be considered. Subject Area Analytical Chemistry, Physical Chemistry, Machine Learning, Mechanical Engineering, Chemical Engineering, Materials Science
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, or expected to achieve, at least a 2:1 Honours degree (or equivalent if from other countries) in Chemistry or Mathematics or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a