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. The successful applicant will be employed to work on the BEAMS trial which is a multicentre two-arm parallel randomised controlled trial with internal pilot that seeks to assess the clinical and cost-effectiveness
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sustainable technology practices, programs, services, infrastructure, policies, and partnerships. Position Summary Join UCLA?s Office of Advanced Research Computing (OARC) and help build the research data
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-reviewed journals and conferences Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as
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to innovative drug discovery programs in various areas, including neuroscience, metabolic disease, and spanning cutting-edge bioassay design and chemical biology. Passionate, intellectually curious scientists
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became the youngest and fastest university in the world to achieve QS 5 stars, earning 5 stars in 9 categories: global engagement, good governance, program strength, academic development, teaching
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include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic
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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within
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programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming paradigms such as MPI, OpenMP, OpenACC or equivalent technologies Experience with large-scale scientific software
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within the department. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient