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computing Hands-on experience with PyTorch, including GPU-accelerated model training and optimization Experience training and running models on shared HPC clusters and remote GPU servers, including working in
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, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning
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), using ANSYS Fluent, CFX, OpenFOAM or similar tools. Experience implementing advanced user-defined functions (UDFs) for reaction kinetics, rheology, and multiphase interactions. Automation, HPC and
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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, as well as operating high- performance compute (HPC) systems and requires extensive programming skills and proven experience in handling high resolution data at scale. The second position focuses