11 post-doc-image-engineering-computer-vision Postdoctoral positions at University of California, Merced
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Scholar must have a PhD degree in Electrical, Mechanical or Computer Engineering. Excellent written and verbal communication skills are required. Preferred qualifications Applicants are preferred to have a
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accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Mechanical Engineering Heat Transfer Lab is
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, but those received after the review date will only be considered if the position has not yet been filled. Position description The Water and Energy Technology Laboratory is recruiting for two qualified
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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large
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recruiting a postdoctoral scholar to join the lab. The postdoc will primarily work on a project related to deep soil processes. Our research program explores diverse areas, such as soil organic matter dynamics
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excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
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Henrik R. Larsson’s Theoretical Chemistry/Computational Physics group at University of California, Merced. The postdoctoral scholar will work on the DOE-funded Early Career project "Rigorous quantum
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. Qualifications Basic qualifications Applicants are required to have a Ph.D. in Computer Engineering, Agricultural Engineering, Data Science or a related field. Additional qualifications Experience in one or more
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through Space and Time: Enabling the Quantum Dynamics of Chirality-Induced Spin Selection Through Novel and Scalable Computational Methods. The project involves close collaborations with teams at University