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Field
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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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these systems) Experience with programming/scripting. Desired Extensive experience in parallel programming with MPI, OpenMP, Python(more than 3 years of working with these technologies) Experience working with
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
Requirements The applicant should have a strong background in computer sciences, and knowledge of wave propagation is recommended. Familiarity with parallel programming is essential, ideally with proficiency in
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Germany Application Deadline 28 Nov 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 30 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description IT4Innovations National
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programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack
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/C++, and Python. Working knowledge for parallel programming models (MPI, OpenMP, CUDA, SYCL) Proven track record in GPU driver development, performance profiling, and debugging. Familiarity with Linux
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with a background in Linux system administration, supercomputing clusters, parallel file systems (Lustre preferred) and university research applications. ESSENTIAL DUTIES AND RESPONSIBILITIES Provide
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advancing a focused research program aimed at studying land-building processes in the Mississippi River delta restoration project at West Bay, LA. The primary objective of this program is to develop and apply
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languages (e.g. C/Fortran) Shared and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical