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in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University
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recommended. Other valuable skills include: Experience in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD
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researchers to integrate computing techniques into research activities using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA An equivalent combination
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CUDA would be an advantage. Group web site: www2.mrc-lmb.cam.ac.uk/groups/scheres This is a three-year training and development position suitable for you if you have recently completed your doctoral
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for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus
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networking technologies such as InfiniBand. Working knowledge of GPU technologies like CUDA and OpenCL. Experience with distributed computing job schedulers (e.g., Slurm, PBS). Familiarity with
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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
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programming paradigms and frameworks like MPI (Message Passing Interface), OpenMP, CUDA, or OpenACC for developing highly parallelized applications. Familiarity with HPC tools and libraries such as SLURM, PBS
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Proficiency in CUDA programming and hardware-accelerated computing Experience with high-performance I/O and efficient data access protocols for distributed scientific computing Expertise in customizing data
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, OpenCV), GPU computing (e.g., CUDA), SLAM and point cloud processing (e.g., PCL). Familiarity with ROS-based development and Linux software tools is considered a fundamental asset. (30