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Field
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theory to unlock the efficiency of neuromorphic compute in multi-timescale processing. Job description Neuromorphic computing promises new energy efficiency records by taking inspiration from biology
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Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of the following disciplines: advanced
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• Coalitional models for efficient sharing of joint energy infrastructure (such as a community heating network or community battery). This can use, e.g. techniques from coalition theory such as Shapley values
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background in stochastics (probability theory and statistics) is desirable Good English as well as programming skills in R, python or C/C++ Pedagogical and presentation skills. German language skills are not a
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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events; Participating in the PhD community and the intellectual life of the LUCAS Institute; Subject to progress and demand, some teaching in the second and third years of your PhD project, in line with
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About us Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Department of Global Health and Social Medicine at King’s College London in collaboration with Black
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About us: Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Department of Global Health and Social Medicine at King’s College London in collaboration with Black