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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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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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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
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their PhD studies in parallel. This is an exciting opportunity for Loughborough’s Doctoral Researchers, who are currently in R2 or early R3 of their PhD programme, to gain complementary experience outside
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good understanding of the physics of scattering and antenna radiation Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired More Information Location