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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, parallel. Experience with AWS, GCP
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and lead in the development of compute resources critical to CESR operations, analysis, and simulation – including the CLASSE Compute farm which supports batch, parallel, GPU, and interactive workflows
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of compute resources critical to CESR operations, analysis, and simulation – including the CLASSE Compute farm which supports batch, parallel, GPU, and interactive workflows across a cluster of high
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experience working with large numerical and audiovisual datasets in Python. Extensive Linux command line experience; comfortable with ssh, scp, rsync, parallel. Experience with AWS, GCP, or Azure. Experience