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programme you should hold, or expect to hold, an honours degree in a related subject area with a 2:1 or first-class honours (or overseas equivalent). For applicants whose first language is not English, IELTS
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webpages: https://sites.google.com/sheffield.ac.uk/fagan-lab/ https://thomaslabyork.weebly.com/gavin.html Institutional entry requirements for PhD: For entry into this PhD programme you should hold, or
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/V3g8CyJzU4xDi2fL9 Institutional entry requirements for PhD: For entry into this PhD programme, you should hold, or expect to hold, an honours degree in a related subject area with a 2:1 or first-class honours (or
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at international conferences, develop independent ideas, and grow as an independent researcher. Entry requirements: For entry into this PhD programme you should hold, or expect to hold, an honours degree in a
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protein biochemistry or fluorescence techniques is advantageous but not required. For entry into this PhD programme you should hold, or expect to hold, an honours degree in a related subject area with a 2:1
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of high-energy theory, string theory, and modern mathematics, offering opportunities for both analytical and computational research within a vibrant international collaboration network. Funding Notes
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Characterization and convergence of non-Brownian webs School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Nic Freeman Application Deadline: Applications accepted all year round Details The Brownian web is a dense system of coalescing Brownian motions in 1+1...
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Neuro-Symbolic AI for Trustworthy Clinical Decision-Making: Bridging Linguistic Fluency and Logical Reasoning in Large Language Models (S3.5-COM- Valentino) School of Computer Science PhD Research
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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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high-dimensional datasets that hold promise for earlier and more accurate diagnosis. These are often analysed with modern computational approaches such as machine learning, which can highlight hidden