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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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, or deployment at scale. A proven track record of high-quality research contributions published in top-tier machine learning conferences or journals. Proficiency in high-performance computing, distributed and
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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Find out more and book your place Funded PhD studentships The successful candidate for each studentship will receive full funding for tuition and stipend, at UKRI standard levels. International
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Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be
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the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant REMODEL: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant
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. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). Strong programming ability in C++ or a related language. Experience in
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further studies as a PhD candidate. Additional programme cost: £500 Fugitive methane in Scotland: Plume mapping and isotopic characterisation using Cavity Ring-down Spectrometry (Dr Adrian Bass) Supervisor
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, Statistics, Artificial Intelligence, Parallel and Distributed Systems, Cryptography, Computer and Network Security, Computer Vision, Image Processing, Natural Language Processing. Job Requirement Candidates