597 parallel-and-distributed-computing-phd uni jobs at University of California, San Diego
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environment. This role requires attention to detail, adherence to safety protocols, and effective teamwork to support milk processing and distribution. Performs other duties as assigned. Current Food handler
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, MCEPA, MIA, and MAS-IA degree programs, a joint Ph.D. with the Department of Political Science and executive education programs. GPS also administers the undergraduate International Studies Program
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. Other responsibilities include method development-modification-parallel testing, collaboration on or preparation of abstracts or manuscripts, repair of laboratory instruments, sample processing, reagent
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responsible for daily distribution and collection of custodial keys to custodial staff. Completes emails, any required forms, attendance reports and supply orders using Customer Portal system. Reviews status
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of Music builds upon the University’s vision to "align our efforts to be a student-centered, research-focused, service-oriented public university" as the country’s foremost graduate program in contemporary
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completion of the APRA-H ADAPT program goals. This role will require expertise in bioinformatics, machine learning, systems biology, and project leadership, with a deep understanding of modern cancer biology
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of the work will be to support the Center's research, publication, and program activity including: Expanding the Taiwanese-American "Who's Who" entries to be more comprehensive, inclusive and informative
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coordination. Plan, organize, and coordinate administrative, clinical, teaching, research and service activities for academic surgeons. Act as liaison with referred patients.Maintain and distribute 6-month
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medical physics residency program, admitting two trainees per year. Successful candidates will provide clinical coverage at Moores Cancer Center as well as our other facilities in the greater San Diego area
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written instructions. MS or PhD. Demonstrated experience with high-performance computing environments and cloud-based genomic analysis. Demonstrated experience and expertise with multi-omic dataset queries