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programme. It is led by inaugural Director Professor Michael Kenny and Professor Diane Coyle, Bennett Professor of Public Policy. Applications are invited for a Research Assistant/Associate position in
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Transactions 54, 10574-1058 (2025); Applied Physics Letters 126,11110 (2025). Prior experience in computational chemistry is desirable but not necessary. Applicants should have, or expect to achieve, at least a
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(Materials Science, Chemistry, Physics, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all
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to underpin their refinement. Applicants should have (or expect to be awarded) a good UK Master's degree (or overseas equivalent) in a relevant science subject (Materials Science, Chemistry, Physics
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overseas equivalent) in a relevant science subject (Materials Science, Chemistry, Physics, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate
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strong scientific interests and self-motivation. They will have a degree in physics, mathematics, oceanography, meteorology, or a related science with good computing and numerical skills. Entry
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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collaborative studentship between the University of Edinburgh and the National Quantum Computing Centre (https://www.nqcc.ac.uk ). The position will be registered and hosted at the University of Edinburgh and
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consumables, equipment, and travel related to the project. Number Of Awards ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned