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, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in
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), with a focus on machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux
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-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state
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planning and execution architecture for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work
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updates. Minimum Requirements (Essential) Education PhD in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Biomedical Engineering, or a related field. Technical Skills
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interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
(e.g., liberal arts, economics, public policy, and/or pre-medical background) and / or equivalent experience / training Skills to learn organization-specific and other computer application programs Basic
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and undergraduate students. PhD or terminal degree in Computer Engineering, Computer Science, or a related field. A track record of publishing and seeking funding. Collaborative research experience in
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details