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of Bradford. This PhD studentship is integrated into work package 5 of the ERC Synergy Subnordica Project, which will combine data from across the entire project into a set of predictive models for comparative
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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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mass spectrometry experimental data, creating a unique multi-stranded methodology to map out free energy landscapes associated with protein folding in environments spanning gas-phase to microsolvation
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Bioinspiration & biomimetics (2020) DOI: 10.1088/1748-3190/ab654f Further information: www.katherinedunnresearch.eng.ed.ac.uk Closing date: Friday 16/01/2026 - 12:00 Principal Supervisor: Dr Katherine Dunn
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between things, developing the mathematical and computational foundations for optimal information transfer between surfaces and volumetric current distributions in complex scattering media. The research
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and competition. Due to the paucity of data on nutrition and health needs of e-sports athletes, this project aims to understand the demands of e-sports, lifestyle practices of e-athletes, and potential
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, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics
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Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian
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of receiving a scholarship, we advise all candidates to submit their application as soon as possible. Online information session We are inviting you to attend an online information session about LUMS PhD
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-informed learning) with hard physical constraints (Navier–Stokes in spectral space) we will develop methods to super-augment experimental data via data assimilation and turn sparse wind-tunnel measurements