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developing and implementing very large deep learning models. Familiarity with high performance computing environments (e.g., HPC clusters, GPUs, Cloud resources) and managing Linux based hardware systems
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investigate the “Solar wind outflow and open flux”. Candidates with a strong track record in solar magnetic field modelling, and/or familiarity with solar observational data, are particularly encouraged
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were ranked 1st in the 2025 Times and Sunday Times Good University Guide, and 4th in the 2025 Complete University Guide. Our aim is to sustain and support hubs of leadership in geographical scholarship
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were ranked 1st in the 2025 Times and Sunday Times Good University Guide, and 4th in the 2025 Complete University Guide. Our aim is to sustain and support hubs of leadership in geographical scholarship
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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disciplines, including, but not limited to art and creative practice-based research; art history and visual and material culture; film and media studies; visual and material history; visual anthropology and
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. · A PhD (or be close to submission) in atomic physics or a closely related area. 2. Experience · Experience in conducting high quality academic research. · Demonstrable ability
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University Guide 2024, and ranked 4th for impact in REF 2021. Due to the reach and scope of the Contextual Safeguarding programme most team members work to a hybrid working model, with research underway in
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University Department of Engineering, who is the overall project’s principal investigator and will be modelling and testing materials we produce. The successful applicant will be expected to lead the wet
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, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate