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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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tools (OpenXDMod), distributed and parallel file systems (CEPHFS, NFS, Lustre, BeeGFS), and virtualization platforms (Openstack) Rewards and Benefits This position is located in Ithaca, New York
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-quality protein samples and crystals to generate benchmark datasets for the broader structural biology community. In parallel, the technician will support ongoing research by assisting lab members in
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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