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Field
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multicore parallelism with SYCL Lead and contribute to our research on adaptive parallelism with OpenMP Research how to efficiently compile SYCL and OpenMP programs on RISC-V platforms Co-supervise PhD
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
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and processes) by shadowing as well as receiving coaching and tutoring from one of our Senior PA Engineers. You will perform this task in parallel to specific Mission Classification activities described
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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Laboratories (LTS5 ), Mr Jackson at the UoE Parallel Computing Centre (EPCC ), Prof. Smirnov from the South African Radio Astronomy Observatory (SARAO ), Dr Akiyama from MIT Haystack Observatory (Haystack ), Dr
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for the generation of clean H2 from non-ideal water streams, looking at oxygen evolution and parallel purification reactions. The candidate(s) will also work with the team to scale-up of the system in area, number
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization