84 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:" positions at California Institute of Technology
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program while working closely with CCE faculty and external experts. The Research Scientist will also support post-bootcamp research integration, enabling participants to apply AI/ML methods to active
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requirements and detail and document the work that you’ve accomplished. Basic Qualifications Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Astronomy, Physics, Math, or a
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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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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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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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. 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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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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skills and effective oral and written communication skills, as well as experience editing and proofing. Proficient computer skills, including Excel, Word, PowerPoint, and Outlook. Experience making travel
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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