18 computational-biology-physics-training Postdoctoral research jobs at University of California
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opportunity to develop and analyze idealized simulations. Qualified candidates must have numerical modeling experience and a demonstrated record of first-author publication in physical oceanography
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, California 95616, United States of America [map ] Subject Areas: Physics / Astronomy , Astrophysics Computational , Machine Learning Salary Range: Starting at $71,491/year or higher depending on experience
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research focuses on a geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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, under the joint supervision of Prof. Alex Cloninger and Prof. Gal Mishne at UC San Diego. This NSF-funded research focuses on a geometric understanding of training in deep neural networks. The position
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University of California, Santa Cruz, Santa Cruz Institute for Particle Physics (SCIPP) Position ID: University of California, Santa Cruz -Santa Cruz Institute for Particle Physics (SCIPP) -PSFSG
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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letters (at least one addressing teaching) Please reference job #09900 in the subject line of all correspondence. Applications are welcome at any time. The review process starts November 1, 2025 and will