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parallel execution, targeting emerging AI workloads in both high-performance and embedded contexts... Where to apply Website https://lavoraconnoi.unitn.it/incarichi-post-doc/dipartimento-disi-avviso-di-se
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Phanstiel lab at UNC (http://phanstiel
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/re search
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explored in seven parallel and complementary doctoral projects at three Swedish universities. In this way, the doctoral students will receive an interdisciplinary education in the related subjects through
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on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal platform
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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, Physical and Life Sciences Division at Oxford may be found at www.medsci.ox.ac.uk/departments and www.mpls.ox.ac.uk/departments https://www.humanities.ox.ac.uk/faculties-and-units-0 and https
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line