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distinct individuals with varied interests, needs, and abilities. Salary based on course contract. Campus varies. Minimum Qualifications University Parallel: Master’s degree in the discipline or subfield in
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efficiently. Parallel computing, including algorithms and data structures, compilers, operating and runtime systems, software, programming methods, applications, and architectural support, will continue to be
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programming proficiency in Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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/C++, Fortran, and/or Python Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid numerical frameworks is desirable. See the job description for further details
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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to modern development workflows and HPC resources, and opportunities to contribute to shared tooling used across the consortium. Applicants should demonstrate recent experience in parallel programming (MPI
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for CFD, competence in scientific programming (such as Fortran or C++), and familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid