196 postdoc-parallel-computing positions at California Institute of Technology in United States
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Qualifications M.S. degree in electrical engineering, physics, or computer science and 6+ years related experience or an equivalent combination of education and experience. Demonstrated success executing in-depth
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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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multiple projects and assignments effectively with minimal supervision. Strong computer skills, including experience with Microsoft 365 and use of protocol application databases. Preferred Qualifications
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; successful pre-employment physical, including vision screening. Ability to lift 25 lbs. Preferred Qualifications M.S. degree in electrical engineering, physics, or computer science and 6+ years related
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training “boot camp” in software engineering and will be embedded within a research group for a one-year period, supporting innovative science and facilitating computational approaches across campus. Upon
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optical simulation. Knowledge of numerical methods in computation. Understanding of thermal distortion mechanisms and beam wavefront deterioration due to thermal aberrations. Required Documents CV. To be
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a focused research program in Artificial Intelligence (AI) and Mathematics. The primary objective of this program is to harness machine learning tools, with a particular emphasis on reinforcement
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and involves them in program development as appropriate. Maintains effective communication with other staff to promote overall department effectiveness. Perform other duties as assigned. Parking
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The research group of Sergei Gukov at Caltech is seeking a Post-Doctoral Researcher to join our new team. The selected candidate will contribute significantly to a focused research program in Artificial
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, computer science, or related discipline. Demonstrated experience in advanced image and point-cloud processing: 3D photogrammetry, co-registration and orthorectification, sub-pixel change detection, topographic