189 parallel-and-distributed-computing-phd positions at California Institute of Technology
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Astrophysics Fellowship Type: Postdoctoral Location: Pasadena, California 91125, United States of America [map ] Subject Areas: Quantum Information Science Gravitational Physics Astrophysics / Theoretical
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' Postdoc Guide and Fellowship Guide and distributes to incoming Postdoctoral Scholars. Keeps up-to-date information on group members (includes Grad students, Postdoctoral Scholars, Visiting Associates
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via computer interface, and in conjunction with the Utility Plant Operator (UPO), operate natural gas combustion and steam turbine generators, 300 psi steam boilers, chillers, cooling towers, and other
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incoming Postdoctoral Scholars. Keeps up-to-date versions of the labs’ Postdoc Guide and Fellowship Guide and distributes to incoming Postdoctoral Scholars. Keeps up-to-date information on group members
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, and distribute communication materials or assist staff with these functions. Process and reconcile corporate card (PCard) reports, including reimbursement, per diem reports, etc. Process deposits
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technologies. Essential Job Duties Collaborate with Principal Investigator(s) to determine direction of research projects in the fundamental and applied study of natural isotope distributions. Coordinate
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stimulation paradigms to examine various behaviors, and improving custom imaging chambers and attachments to enable efficient and accurate data collection. (5%) Conduct Advanced Data Analysis and Computational
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Qualifications If you have the following in your background, then we want to hear about your interest in joining our team: PhD degree in astrophysics or a closely related field. 2 years post-PhD experience with
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, environmental, and QA procedures for harsh deployments. Select components, manage vendors, and track cost/schedule/risks. Produce documentation, user guides, and training for researchers. Basic Qualifications PhD
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distributed system developments to evaluate and implement new networking technologies to ensure fast and reliable data transfers to/from the computing clusters and new data access methods. The successful