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an emerging or established leader in one of our research emphasis areas (Biomedical Imaging/ Bioelectronics; Cell/ Tissue Engineering; Neuro/ Rehabilitation Engineering; Molecular Medicine/ Drug Delivery
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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imaging, in vivo electrophysiology, animal behavior experiments, animal surgery, computational modeling of animal behaviors, or computational modeling of neural dynamics. Some programming skills for data
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Levine Lab - Electrophysiologist (Assistant Professional Researcher) Department of Oral and Maxillofacial Surgery University of California, San Francisco The Levine Lab is seeking a skilled and motivated
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sytnhesis and functionalization, materials science, characetrization techniques and in vitro/in vivo prototype validation in relevant environments. The candidate will work as part of an international team and
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; assisting with the validation of PGCoE-developed pathogen surveillance paradigm, molecular and bioinformatic methods implemented into WADDL; participation in PHL led training events; development and
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 hours ago
, imaging, open surgery, and endovascular intervention. We place a strong emphasis on clinical quality outcomes, innovation, and exceptional patient experience. Practice Environment: Faculty members
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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directly from radiomic features captured during routine medical imaging. This reduces reliance on invasive biopsies and accelerates diagnostic processes. Beyond classification, the platform combines
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intervention for children and families. Core responsibilities Coordinate the design, implementation, and evaluation of AI-enabled facial image analysis within a large-scale longitudinal child health study