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The Department of Materials Science and Engineering is one of the leading UK Departments (rated top five in the REF 2014 exercise for research excellence in materials science and engineering). The
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approaches for fast prediction of material behaviour. You will be primarily based within the Department of Civil and Structural Engineering, which has a long track record of developing innovative computational
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in Structural Engineering/Design and can contribute to academic leadership in the area. You will join the well-established Materials and Structures (MS) group in the School of Civil Engineering at
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The Digital Artist role is a fantastic opportunity to be part of an exciting and innovative team. The Virtual Engineering Centre consists of a high impact multi-disciplinary group of experts
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for research posts at the Research Associate level, one in Generative AI for small molecules and materials, and one in multi-fidelity machine learning for Chemistry. Candidates are welcome to state
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a range of scientific disciplines including structural biology, physics, chemistry, materials science, engineering, earth, and environmental sciences. About the Role We now have an opportunity for a
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compositions for engineering electron devices with desirable behaviours, accelerating materials discovery and their use in sustainable manners. The post-holder will have the ability to engage with world-leading
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University of London, which was set up to provide a link between the research activities of the School of Engineering and Materials Science (SEMS) & industry. Nanoforce operates in a range of areas including
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Qualified to BSc in an animal related subject and Equine qualifications/experience, you should also hold, or be prepared to work towards, a Level 5 teaching qualification. For the next stage in the process, you will be required to attend the College’s premises, unless exceptional circumstances...
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Materials) project on “Stochastic Optimisation for Long-Duration Energy Storage Systems” at the Department of Computing at Imperial College London. We will seek to develop stochastic optimisation formulations