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Field
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methods. Guides direct reports in mentorship of their direct reports. Effectively identifies, processes, and resolves conflict to align and unify team(s), mobilizes team members to progress in parallel
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and reviewing manuscripts, and helping with grant applications. Successful candidates will possess strong data processing skills in the UNIX/Linux environment and have familiarity with high-performance
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operation of particle or nuclear physics detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software
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in the implementation of database, software and computing solutions to meet scientific and administrative computational needs of life sciences research and education at UC Davis. Maintain computer and
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management NFS-based storage management and configuration High-performance parallel filesystem (Lustre) management and configuration Scripting for system management, monitoring and task automation Installing
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at UC Davis. Maintain computer and network security, and data integrity. Participate in documentation and training on the use of the computing resources provided. Act as a liaison representing high
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closely with OHAZ Assistant Directors, OHAZ Leads, and OHAZ staff to coordinate, configure, and administer a variety of digital processes and devices with an emphasis on upkeep of real-time data and field
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computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and
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laboratory at LHO. In parallel, the chosen candidate will assist in forging results of this R&D into a conceptual reference design, construction plan, and parametric cost estimate for CE. These will form
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excellence in all areas, the college offers a variety of occupational, technical, and university-parallel transfer programs. SVCC is committed to offering a world-class education in an actively supportive