20 computational-biology-physics-training Postdoctoral positions at University of California Irvine
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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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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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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Aug-25 Location: Irvine, California Type: Full-time Categories: Academic/Faculty Physical Sciences Internal Number
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equivalent) candidates with strong laboratory research backgrounds & specialized training for anticipated openings between July 7, 2025 & June 30, 2026 in the Department of Pathology and Laboratory Medicine
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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 Physical Sciences Internal Number
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, publications, and specialized training in biomedical, biological sciences, or related fields. This is an ongoing recruitment. Positions are dependent on extramural funding. Initial appointments are for two years
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processed through the YAC have better long-term outcomes (reduced recidivism; positive mental and physical health; positive socioeconomic) than young men who are processed through the traditional courts
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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