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-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability
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computing for computational fluid dynamics applications. High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid
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for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management practices, evaluate latest developments
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are comfortable navigating complex HPC environments and wrangling large datasets. You have experience with modelling through state-of-the-art machine and deep-learning methods and with hands
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disease research, especially involving multi-omic data integration Strong experience with network-based models, especially multiplex or multilayer networks, applied to biological data Familiarity with HPC
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developing and implementing very large deep learning models. Familiarity with high performance computing environments (e.g., HPC clusters, GPUs, Cloud resources) and managing Linux based hardware systems