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team. Financial stewardship for serval budgets of ~$8M. Basic Qualifications Bachelor’s degree in engineering, computer science, computer information systems, or a related field, or equivalent experience
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research program in Artificial Intelligence and Mathematics. Working under the guidance of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning
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that support the ongoing growth and integrity of the Institute Compliance Program. Essential Job Duties Manage and conduct compliance assessments in accordance with ASIC policies and in line with an Effective
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. The role involves the design, implementation, and testing of GPU compute kernels, and associated host code, for the CHR real-time pipeline. Particular challenges include high-throughput beamforming via a
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senior level in one or more of the following disciplines: optical design, mechanical design, controls engineering, software architecture and development, real-time computer implementation, laser guide star
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for delivering a consistent, secure, and high-quality technology experience for staff and visitors. To achieve this, the team manages a wide range of technical duties, including: Staff Computing: Managing and
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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and set priorities. Be customer-oriented and comfortable working with a user base with widely varying computer skills and support needs. Be able to respond to off-hours incidents as necessary. Able
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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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for use by the research and lay communities worldwide with access through computer query protocols and user-friendly interfaces. NED provides data for more than 1.1 billion objects and is growing rapidly