14 genetic-algorithm-computer Postdoctoral research jobs 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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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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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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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