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Field
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Department GENERAL DESCRIPTION Conduct further research on the NSF funded project “Enabling Extremely Fine-grained Parallelism on Modern Many-core Architectures”. Benefits Our commitment to employee well-being
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technical and administrative support activities. This will include activities such as provision of daily testing procedures/protocols in lab, and parallel administrative functions to ensure smooth operation
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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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parallel programming; and tracking the use of HPC resources and the resulting research outcomes and publications. verall, the position provides leadership and guidance on facilitation services and reports
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interfaces with observatory facilities and instrumentation, including stray light control, contamination control, mechanical vibration, manufacturing, logistics, assembly and test processes, and cleanroom
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and demonstrated experience with scientific coding/scripting, preferably in Python, R, Fortran, C++ and various shells. Working knowledge of OpenMP, MPI or other parallel processing approach sufficient
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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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/technical programs and university-parallel/college transfer programs. This position will work with a variety of complex HR topics. Position is primarily responsible for the design, development, and delivery
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influences. A clinical axis with the goal of confirming the links between dysfunctional processes and psychiatric symptoms, and identifying the factors that maintain these pathologies. A therapeutic axis aimed
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extraction from fresh, frozen, and/or formalin fixed paraffin embedded tissue, with subsequent library preparation and massively parallel sequencing (performed at a core facility). Sequencing data generated