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research group led by Dr. You Leo Li at The University of Texas at Dallas is excited to invite applications for postdoctoral scholar positions. We’re at the forefront of medical ultrasound imaging and
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University of California, Los Angeles | Santa Monica, California | United States | about 2 hours ago
JOB DUTIES Description With your passion for solving clinical mysteries and our comprehensive imaging capabilities and sophisticated technology, you can experience an exciting and rewarding imaging
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Biophysics, Bioengineering, Cell Biology or equivalent. Expertise in image/data analysis and coding using Python and ImageJ is required. Experience in cell culture and basic molecular biology techniques is
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, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI
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Scientist will employ state-of-the-art electrophysiology (Neuropixels recordings), two-photon imaging, and computational analysis to study how sensory input and brain state shape neural population responses
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the reference code for this opportunity. Qualifications Applicants should be currently pursuing doctoral degree in agricultural engineering, mechanical engineering, computer science, robotics, imaging science, or
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+) that emit in the near-infrared (NIR) range and function as optical imaging agents to identify and locate specific biological targets: cancer using antibodies or/and neurological pathologies (e.g. Parkinson's
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: University of Miami Health System & Clinics - Radiology Imaging UTower CORE JOB SUMMARY The Radiologic Technologist 2 performs complex procedures in Radiology through the operations of radiographic equipment
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employment. Starting date: 09.04.2026 Job description:PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 987 - 2026/WP 1 Work location: Hamburg Application deadline
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026