548 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Virginia
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at the time of hire. Ideal candidates will have a Ph.D. with a strong background in cardiovascular physiology. Note: Research Associate positions are for candidates who have obtained their PhD within the past 3
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of research communication. Working as part of a dynamic team within the University’s PhD Plus program, the Assistant Director will support an essential component to the Office’s efforts to help
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MLT program Experience: Bachelor’s Degree with completion of a NAACLS approved MLS/CLS program – 0 years; Master’s/PhD in Biology/Chemistry or related science – 0 years; Bachelor’s in Biology/Chemistry
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appropriately distributed solutions. Build BI solutions. Develop code with structured query language (SQL). Perform analysis of data. Design data collection tools based on parameters appropriate for the situation
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with Program Directors, University Student Financial Services, and external partners. Ensure timely and accurate processing of scholarship awards in compliance with University and SCPS policies. Develop
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. • Prepare timecards for readiness for manager approval (Review and clean up exceptions) • Maintains staffing related records, files, and reports. Distributes reports to appropriate leaders, as determined
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REQUIREMENTS Education: A master's degree or PhD in Civil Engineering, Computer Science, Architecture, or a related engineering field is required. Experience: ·Demonstrated proficiency in virtual reality
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs
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) for building mechanical systems, infrastructure systems, energy generation, and distribution systems. They are responsible for identifying, evaluating, implementing, and programming new BAS technologies. BAS
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data