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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
after the review date will only be considered if the position has not yet been filled. Position description The Department of Computer Science in the Henry Samueli School of Engineering and Applied Science
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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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optical sensing techniques. Minimum Qualifications: • Ph.D. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: • Hands-on experience in
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, innovative, and dynamic research projects. They will learn the routine lab techniques and build strong analytical skills. The work between the two labs is at the interface of biology and engineering, employing
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a Ph.D. degree in Aerospace Engineering or a related discipline by the employment start date and demonstrate potential to build an independent research program with externally funded research
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
Keeler-Klunk Lab in the Department of Genetic and Cellular Medicine is seeking a highly motivated scientist with expertise in immunology or genome engineering, to join our cutting-edge laboratory
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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high
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are an engaging and diverse academic community. Qualifications: Ph.D. in Chemical Engineering, Biochemical Engineering, or a closely related field. Strong background in materials science, polymer chemistry, and/or