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February 2024 Interview Date: To be confirmed Reference: SCI285323X1 We are seeking to recruit a highly motivated Research Associate/Fellow to work with our lithium-sulfur battery team as part of
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providing the UK with new economic opportunities. Light weighting is recognised as a route to reducing carbon emissions and improving fuel/battery efficiency. Therefore, designing high performance and low
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, accelerating a shift to "Clean Growth", and providing the UK with new economic opportunities. Light weighting is recognised as a route to reducing carbon emissions and improving fuel/battery efficiency
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., for batteries or information storage), discovering entirely uncharted chemistry (e.g., multiple anion compounds), and the development of new methods that accelerate the discovery of materials (e.g., combining
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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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programs that incentivize flexibility from distributed energy resources (e.g., batteries) and newly electrified loads (e.g., electric vehicles or heat pumps) Investigate the interplay of programs procuring
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controllers/signal processors as well as control strategies and in innovative modulation strategy designs; experience in designing integrated power electronics for battery or sensor systems; proven track record
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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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of common neurobehavioural and cognitive test batteries. 2. Established record of administering behavioural tests in young children 3. Knowledge and understanding of the project 4. Knowledge