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(HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters. Software Engineering: Knowledge of version control (Git), containerization (Docker
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languages; experience with GPU programming (e.g., CUDA) is highly desirable. Background in optimization, image-guided radiotherapy, medical imaging, or computational modeling. Experience with treatment
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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, with experience in additional languages such as Fortran considered a plus. Strong knowledge of at least one parallel programming model commonly used in HPC, such as MPI, OpenMP/OpenACC, CUDA, HIP, Kokkos
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, convolutional architectures and surrogate modelling for physical systems Solid understanding of PDE-based models or the motivation to acquire this knowledge Experience with real-time or edge deployment (CUDA
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the AliceVision library. Activity 3: Critical Code Optimization (C++/CUDA) - Adapt the code to drastically reduce computation times (target: < 1h). - Replace proprietary dependencies (InstantNGP) with a flexible
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their publications Experience programming GPUs with CUDA, SYCL, HIP or OpenMP Experience using and developing code with AMReX Experience in performance engineering to improve code scalability and reduce time-to
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch # Mandatory experience with High-Performance Computing (HPC
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | about 1 month ago
environment Excellent programming skills in languages such as Python, C/C++ and CUDA Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch Mandatory experience with High-Performance
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Information Eligibility criteria - PhD in astronomy, computer science or related fields - Proficiency with several of the following languages / programming models: C/C++, Python, CUDA, OpenMP, MPI, PyTorch