163 parallel-and-distributed-computing uni jobs at California Institute of Technology
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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
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to the public and the wider technical/scientific community via open lectures and the Internet. Under the direction of the KISS Program Manager, the Event Assistant will support KISS workshops and events. This is
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of applying these skills in a professional setting is required. Essential Job Duties Collect information from appropriate internal stakeholders including faculty, deans, program leads, fund accounting
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the Brinson Exploration Hub at conferences and relevant events. Program Design & Strategy Design and implement structured research methods (e.g., interviews, surveys, usability tests) to understand user and
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completion of pre-employment physical and background checks. Physical Requirements The role requires the ability to lift up to 25 lbs. Preferred Qualifications B.S. in computer science, engineering, physics
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. Physical Requirements The role requires the ability to lift up to 25 lbs. Preferred Qualifications B.S. in computer science, engineering, physics, mathematics, data science, astronomy, or related field and 2
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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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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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Demonstrated experience in building automation controls and leadership Five years of demonstrated experience in BMS leadership. Demonstrated ability to implement strategies to achieve program goals. Excellent
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obstacles and evaluate information. Utilizes appropriate computer-assisted audit techniques to increase effectiveness and efficiency in the audit process. Utilizes data science to analyzes available data sets