116 computer-science-programming-languages-"U.S"-"U.S" positions at University of California Irvine
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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leveraging cutting-edge technologies. This position offers an exciting opportunity to develop a research program in tissue biology using state-of-the-art methodologies. The successful candidate will receive
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at the designated rank and step, are offered when necessary to meet competitive condition. See Professorial Series (HS Clinical) -Health Sciences Compensation Plan located here [https://www.som.uci.edu/academic
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714.509.6094 Department: https://recruit.ap.uci.edu/JPF09063 Qualifications Basic qualifications (required at time of application) PhD in electrical or biomedical engineering, medical physics, computer science
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 15-Jul-25 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Engineering Internal Number
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Sciences Compensation Plan. Application Window Open date: July 1, 2025 Next review date: Thursday, Jul 31, 2025 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee
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. The posted UC salary scales set the minimum pay determined by rank and step at appointment. This position includes membership in the health science compensation plan , which provides for eligibility
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling Biomolecular and
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include image collection analysis and computer-based instrumentation. Experience in biophotonics and LabView and MATLAB programming desirable. Candidates should have a Bachelor's degree preferably in
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Materials; Energy Materials and Sustainability; Materials for Structural Applications and Extreme Environments; Modeling, Theory and Computational Approaches to Materials Science and Engineering; Nanoscale