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and run-time management of parallel and distributed computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. • An excellent
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reports to the Director of Advanced Research Computing, Security, and Information Management (ARCSIM) and will help support the needs of the UMaine research community and its collaborators by enabling and
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future position is in the Research Group Scientific Computing at the Faculty of Computer Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and
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fundamentals and hands-on experience with HPC systems; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and
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State University of New York University at Albany | Albany, New York | United States | about 2 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems
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parallel and object storage systems, and advanced AI/ML compute environments optimized for large language models and data-intensive science. The Architect is highly hands-on building and automating secure
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2 Oct 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Engineering » Communication engineering
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Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing