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deployment, intelligent sensing and Physical AI. Supervisors: Dr Amir Atapour-Abarghouei and Prof Toby Breckon (Durham); Dr Samet Akcay, Principal Engineer, Edge Computing, Intel Client Computing and
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Durham University | 2 months ago
interest in collaboratively building new generations of world leading simulations. For example, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid
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on a multidisciplinary approach combining laboratory experiments, observations of natural earthquakes and numerical modelling to develop new insights into earthquake nucleation. The successful PDRA
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the numerical and mathematical modelling of these complex atmospheric phenomena. This is a multifaceted research role that draws on mathematical modelling, high-fidelity numerical simulation, and close
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interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications of simulations to multimessenger astronomy. However, applications will be considered in any
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include the scaling of neutral-atom quantum computing through distributed computing, as well as new tests of fundamental physics, such as exploring the interplay of general relativity and quantum
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mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve structure solution, refinement
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computing, nuclear fusion, pandemic modelling and faster digital technologies. We pride ourselves on closely aligning our teaching with the University’s research‑intensive ethos. Research‑led learning
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The role and department This role is an integral part of a shift in service ownership for Power BI and Microsoft Fabric. The service was previously owned by the Computing and Information Services
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modern programming practises, technical methods and standards Promote and encourage a collaborative approach to problem solving and project delivery in order to motivate, mentor and coach less experienced