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: A relevant tertiary qualification or relevant experience. Experience in a financial management role with reporting experience in a large, complex organisation. Desirable: Vendor training in CUDA/GPU
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at the Technical University of Munich (TUM) invites applications for one PhD position. The student will work on developing scalable distributed preconditioners in Ginkgo (https://github.com/ginkgo-project/ginkgo
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, the Musculoskeletal Biomechanics Lab, the Data-Driven Modeling Lab, the Heat Transfer & Applied Thermodynamics Lab, and the MultiPhase & BioFluids Lab. More information can be found by visiting https://eas.uccs.edu/mae
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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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programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL ● Experience with applied computer vision, such as convolutional neural networks and vision transformers is preferred
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using the shared memory and message passing techniques. Knowledge of OpenMP and MPI or similar programming directives and libraries. Knowledge of GPU programming with CUDA, HIP, oneAPI or OpenMP for GPUs
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WEKA, VAST, GPFS, BGFS, CEPH. Experience with installing and supporting: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia CUDA and GCC