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Field
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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international theoretical/computational partners. Your experience and ambitions Master’s degree in the field of condensed matter physics or a closely related field. Existing skills and knowledge in electronic
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experience) in a relevant discipline (biomedical engineering, computer science, medical physics) or an overseas qualification of an equivalent standard. Candidates will need to demonstrate significant research
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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from traditionally under-represented groups in physics and astronomy including, but not limited to, women and Black, Asian and Minority Ethnic. The research programme will take place in
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, Aerospace Engineering, Materials Science, Physics, Computer Science or Mathematics. If English isn’t your first language, you’ll need an overall IELTS score of 6.5 with at least 6.0 in each section Interested
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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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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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28 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position