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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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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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dates intended to provide a full-time program of advanced academic preparation and research training. CV and Cover Letter are required. 003252: POSTDOC-EMPLOYEE 003253: POSTDOC-FELLOW 003254: POSTDOC-PAID
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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
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, Human endogenous retroviruses in cancer H. Mkhikian: Glycoimmunology in health, autoimmunity, and immune senescence; glycoproteomics and cross-linking mass spectrometry P. Shah: Computational Medicine A
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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