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Applications are invited for a Research Assistant/Associate (Postdoctoral Researcher) in the Department of Engineering, to work on the development of new methods to structure Li-Ion battery
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costs compared to fossil-fuel counterparts; reduced vehicle payloads; ranges limitations; lack of charging infrastructure; degradation of battery capacities with time etc. These challenges are holding
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Batteries. The post holder will be located in Central Cambridge Cambridgeshire, UK. Energy
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to industry, with current applications including rail monitoring, sensor placement optimisation, protein folding, and battery design. It has a long-term interest in the application of it's know-how and IP
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science, e.g, by leading to more effective batteries. The post holder will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark
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and in innovative modulation strategy designs; experience in designing integrated power electronics for battery or sensor systems; proven track record of publishing in tier-1 journals; experience in
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difference. Our portfolio includes companies looking to make an impact by commercialising technologies in sustainable materials, quantum computing, next generation batteries, photonics and optimisation
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companies looking to make an impact by commercialising technologies in sustainable materials, quantum computing, next generation batteries, photonics and optimisation software. The Ventures team plays a vital
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, protein folding, and battery design. It has a long-term interest in the application of it's know-how and IP to the space sector, and the PhD candidate will be a key part of this process. Application Process