227 parallel-and-distributed-computing-phd-"Multiple" positions at California Institute of Technology
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Linux kernel internals, computation accelerators (e.g., GPU computing, CUDA), MPI, and OpenMP. Highly resourceful and adept at juggling multiple simultaneous projects. Must demonstrate ability to work
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part...
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. Preferred Qualifications Master’s or PhD in Computer Science, Science, or related field. 4+ years’ experience with the HTCondor batch processing system. Experience running and troubleshooting jobs on the Open
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are designed and deployed or procured to support this standard. The Web Accessibility Program Manager will oversee the Institute’s work in this area, with responsibility for ensuring that Caltech websites
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postdoctoral scholars. Keeps up-to-date versions of the lab’s Postdoc Guide and Fellowship Guide and distributes to incoming postdoctoral scholars. General Administrative Support Coordinates travel arrangements
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not limited to multiple disciplines, asset classes or industry sectors that are important to the success of the investment program. Portfolio Management & Asset Allocation (25%) Analyze and synthesize
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application. This individual will provide administrative and clerical support to several research groups and will have administrative responsibility for the coordination of multiple departmental seminars
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the management of the overall investment program, including manager selection, portfolio strategy, and management of staff in the Investment Office. In addition to the roles and responsibilities of the Associate
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for astronomical, experimental physics, or electromechanical instrumentation. The successful candidate will possess software knowledge spanning multiple applications and development models. They will maintain
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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