11 computer-science-image-processing Postdoctoral positions at University of California, Merced
Sort by
Refine Your Search
-
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
-
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
-
in Chemistry/Physics: The ideal candidate has experience in developing computational methods in the fields of theoretical chemistry/physics. For positions in Applied Mathematics: The ideal candidate
-
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 looking for two qualified postdoctoral
-
considered if the position has not yet been filled. Position description The Water and Energy Technology Laboratory is recruiting for two qualified postdoctoral researchers that are self-motivated, creative
-
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
-
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
-
, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large
-
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
-
. 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