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of equilibrium dynamics using tensor networks to solve partial differential equations, with applications to many-body quantum systems, as well as computational fluid dynamics and plasma dynamics. The successful
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related
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to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field*** Demonstrated expertise in
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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work alongside experts in both computational and experimental chemistry, providing a supportive research environment. Applicants should have a PhD in Chemistry or related field, and extensive experience
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, consolidate and extend ongoing research, and establish a schools health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme
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health research network. Core activities to deliver these aims include analysing data and producing outputs from our ongoing REACH programme, conducting comparative analyses with other regional and
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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modelling and precision functional mapping with dense fMRI sampling to study the developmental trajectories of brain circuits implicated in compulsivity, and to identify the network topologies supporting