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Field
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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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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With the increasing complexity of numerical simulation codes, new
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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
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Morocco Application Deadline 12 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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programme/project/undertaking Title: Parallel and exact algorithms for path problems in directed graphs Type: Sonata-18 Funding institution: National Science Centre Duration: 04.08.2023 – 03.08.2026 Head of
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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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