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consultation with the supervisor and advisor. Potential topics include: - Data centre survey: Citizen attitude survey of data centres - Analysis of a large-scale survey collected with external
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groups. This may draw, among other areas, on research in computational history and work with large-scale textual, bibliographic, and cultural heritage data using AI, high-performance computing, and
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physically consistent and to enforce desired structure in the results. The second is physics-informed learning, which combines available historical data with known system dynamics as a regulariser
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Department’s research groups. This may draw, among other areas, on research in computational history and work with large-scale textual, bibliographic, and cultural heritage data using AI, high
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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operation of AI+Energy systems, integrated energy systems, green hydrogen, ship and port energy systems, and energy-intensive infrastructures such as data centres. The research group is led by
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foliage components, and water-content-related properties needed for microwave VOD modelling. The work will include processing existing TLS datasets and collecting new field data from contrasting ecosystems
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modelling. Key tasks and responsibilities: Develop and implement data‑driven differential rotation constraints in the global dynamo models (e.g., via relaxation terms in the Navier–Stokes equation
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provide interpretable descriptions of biological processes, but they are often incomplete: mechanisms may be only partly known, data are noisy and sparsely sampled, measurements vary across individuals
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data‑driven differential rotation constraints in the global dynamo models (e.g., via relaxation terms in the Navier–Stokes equation), calibrating against solar/stellar observations. Design, run, and