14 post-doc-image-engineering-computer-vision Postdoctoral positions at University of California
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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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, United States of America [map ] Subject Area: Physics / Theoretical Physics Appl Deadline: none (posted 2025/08/01, updated 2025/07/29) Position Description: Apply Position Description The Kavli Institute for Theoretical
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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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, 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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, Geneva 95616, Switzerland [map ] Subject Area: Physics / Experimental Particle Physics Appl Deadline: 2025/08/15 11:59PM (posted 2024/09/03) Position Description: Apply Position Description
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[#29893] Position Title: Position Location: Santa Cruz, California 95064, United States of America Subject Areas: Physics Particle Physics / Accelerator Instrumentation Appl Deadline: none (posted 2025/04
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The Department of Geography, at the University of California, Santa Barbara seeks a qualified candidate for a post-doctoral research position in ocean dynamics and modeling. The qualified candidate will have the
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. Qualifications: - Applicants should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and
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should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and programming skills
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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