14 genetic-algorithm-computer-"Prof" Postdoctoral positions at University of California Irvine
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Internal Number: 6380136 University of California Irvine Postdoctoral Scholar - Open Positions in Microbiology and Molecular Genetics Position overview Salary range: A reasonable estimate for this position
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Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering
: 6380074 University of California Irvine Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering Position overview Salary range: The salary range
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received after the review date will only be considered if the position has not yet been filled. Position description The OctoPath Lab (www.octopath.org ), led by Prof. Lipkova, is seeking applications from
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new MRI techniques for motion-robust imaging, real-time image processing, and/or deep learning. The work includes MRI pulse sequence design for various MRI techniques and technologies, algorithm and
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and/or Ph.D. degree with experience in psychiatry, neuroscience, genetics, imaging, radiopharmaceutical chemistry or related field. Salaries are based on University of California salary scales, which
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full-time program of advanced academic preparation and research training. Qualifications Basic qualifications (required at time of application) A doctoral degree (e.g., Ph.D., M.D.) or the foreign
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. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
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to provide a full-time program of advanced academic preparation and research training. Department: https://www.anatomy.uci.edu Qualifications Basic qualifications (required at time of application) A doctoral
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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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national laboratories (LLNL and LANL) and UC campuses to bridge the gaps between understanding fundamental processes and successful field implementation of EGS. The work at UCI requires computational