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This post (Research Assistant/Associate in Computational Methods for Structural Wing Design) will allow you to contribute to a major industry-funded project developing the next generation of
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understanding of data quality, reproducibility and robust analytical practice. Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable. Beyond
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the advert prior to the closing date stated, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment. If you
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pursue ambitious, high-risk research to advance the fundamental science of artificial intelligence and address some of the field's most important challenges. The programme will create a unique
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directly as a fuel source while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical
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research activities, design and build electrode processing machinery, assemble lithium ion batteries, and test battery performance. At Research Associate level: to carry out the research programme in
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, and substantive empirical insights relevant to the design and operation of mass transit systems. The primary objective of the role is to develop, extend, and apply rigorous statistical and computational
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creation of new photonic technologies based on spatiotemporal metamaterials and structured light. A crucial feature of the programme will be the close interaction with partners in both industry and academia
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attack surface, but also make any performance optimisation a challenge. The post will be based in the Department of Computing at Imperial College London at the South Kensington Campus. The Department
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of metamaterials and perform advanced temporal spectroscopy of dispersive time-varying metamaterials. You will carry out research programmes in photonic metamaterials, nanophotonics, ultrafast spectroscopy and time