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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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, 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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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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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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, Mathematical & Engineering Sciences (NMES) is a vibrant faculty based in the heart of London with a long tradition of world-leading research and teaching in physics, mathematics, chemistry, informatics and
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diminished, e.g. though ageing or a physical interface such as a sock or glove. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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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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science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future innovators. In the Department of Chemistry, courses are taught in modern
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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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with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View