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). Strong academic background and competencies in parallel programming, distributed computing, and performance engineering. Familiarity with accelerator programming (e.g, GPU), hardware programming, high
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21 Nov 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Engineering » Other Researcher Profile
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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) for a 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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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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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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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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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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focus often neglects other dimensions of processes, such as the time between activities and the time required for specific steps, the spatial distribution of tasks across locations, or the intricate
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Genetics; the PhD program commenced in in the Fall 2022 academic year and recruits up to seven students per year to the program. For more information, please visit https://www.utrgv.edu/cos/schools-and