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to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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of emerging, disruptive energy technologies. What you would be doing: As a member of the CEP Laboratory, you will contribute to the research effort by developing advanced theoretical, experimental and/or
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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Fixed-term: The funds for this post are available for 12 months in the first instance. The Department of Land Economy is looking to appoint a Research Associate whose work will contribute
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
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and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University of London invites applications for a Research Assistant / PhD position as part of an EU MSCA Doctoral Training Grant
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The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University of London invites applications for a Research Assistant / PhD position as part of an EU MSCA Doctoral Training Grant