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Field
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-transfer technologies such as Globus that facilitate the transfer of large datasets. Experience using and supporting parallel file systems that are commonly used in HPC/AI systems. Experience supporting
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
and (bio)statistics, biology or medicine. Applicants must have a proven publication record. Prior experience with handling massively parallel sequencing data is considered an advantage. Postdocs will
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
university partnerships. - Administrative, budgetary, and supervisory skills or experiences and skills that closely parallel school administrator-type work. AA/EEO Statement: The University is an equal
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, workload accounting, and performance tuning. Experience with high-performance research storage for HPC, including parallel filesystems, with knowledge of quotas, snapshots, and DR concepts. Familiarity with
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), and the ability to manage ambiguity across parallel initiatives while maintaining momentum toward critical milestones. Knowledge, Skills, and Abilities: Strategic thinking: Ability to see connections
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), and the ability to manage ambiguity across parallel initiatives while maintaining momentum toward critical milestones. Important Note: This position will report to the Convergence Accelerator Project
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. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital based affiliates as well as the city and county of Denver. Our work is
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occupational/technical programs and university-parallel/college transfer programs. Respond to information technology work requests primarily involving routine user assistance and support for computer software
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Pytorch. Extensive experience working with large numerical and audiovisual datasets in Python. Extensive Linux command line experience; comfortable with SSH, SCP, RSYNC, GNU Parallel. Experience with AWS