16 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at University of California
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on superconducting QPUs. Knowledge of noise and error sources in superconducting systems. Familiarity with benchmarking and characterization methods for quantum computers. Experience with tensor network methods and
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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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An exciting postdoctoral position is available in the exciting field of mathematics of deep learning, under the joint supervision of Prof. Alex Cloninger and Prof. Gal Mishne at UC San Diego. This NSF-funded
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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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Davis comprises four faculty (Profs. Chertok, Citron, Conway, Erbacher), one senior researcher, and a number of postdoctoral researchers and graduate students. The successful candidate will work under the
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if the position has not yet been filled. Position description The Physics Department at the University of California, Santa Barbara invites applications for 1-2 postdoctoral research positions in Prof. Brendan
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and diverse astronomy group. The successful applicant(s) will work in collaboration with Prof. Caitlin Casey on a variety of observational datasets and projects spanning JWST (especially focused
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opportunity to work on computational research related to one (or more) of the following areas: coastal dynamics (surf-zone to shelf), submesoscale processes, kelp-current interactions, or marine carbon dioxide
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information science, and applied social science research. This position is well-suited for someone interested in research design and the application of geographic principles and methods to policy analysis and
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collaborate with research partners to develop and utilize novel characterization and diagnostic methods to identify critical performance and durability barriers for these electrochemical devices and develop