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of relevant experience in Linux systems administration or HPC systems engineering. Preferred Qualifications Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing
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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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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research
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, operational intelligence, and natural-language interfaces that support distributed facility operations and improve reliability across U.S. ATLAS sites. In addition, the Lab provides comprehensive computation
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, academic-year position at the rank of Assistant Professor starting in Academic Year 2026-2027, with preference given to candidates specializing in Cloud/Cluster/Distributed Computing, Algorithms and Theory
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guidelines and templates. Coordinate the preparation and distribution of marketing mailers and a monthly newsletter to campus and community partners. Minimum Qualifications Completion of a high school program
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in routine chair-side duties and patient care. Clean and prepare treatment areas using
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, debugging), including CI/CD, containerization (Docker, Kubernetes), and robust debugging techniques. Experience with cloud platforms (AWS, GCP, or Azure) and parallel computing, with a focus on cost-efficient
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/O solutions (e.g., HDF5, ADIOS2), and distributed computing tools relevant to data preparation. Evidence of ability to conduct independent research and publish in peer-reviewed venues. Preferred