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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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therapy, micro-dosimetry, scintillating dosimetry, ultra-high dose-rate dosimetry for protons and/or electrons, accuracy in radiation measurement, AI-integrated high-resolution imaging systems, and the
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, Assistant Professor of Electrical Engineering Research Project Description: Hydration of the body is a critical physiological health indicator, but it is challenging to measure accurately, especially in a
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9738BR Kate Gleason College of Engineering KGCOE Mechanical Engineering Job Summary The Fluid-Acoustic-STructure (FAST) laboratory at Rochester Institute of Technology (RIT), directed by Dr. Byron D
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remaining. • Strong background in in vivo behavioral assays, electrophysiology, and/or imaging techniques. • Solid publication record in peer-reviewed journals. • Experience with stereotaxic surgery and
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engineering, medical physics, or related fields, with proficiency in preclinical MRI, image data processing and analysis. Experience in handling and working with rodents is preferrable. Baylor College
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Position Summary The Integrated Biomedical Imaging Laboratory is seeking a Postdoctoral Research Associate interested in developing novel hybrid noninvasive imaging systems for studying the pregnant
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Posting Information Posting Details Department Lampe Biomedical Engineering - 424601 Posting Open Date 07/22/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
to process the notes, EHR data as well as the images to advance the aims of the project. Mentors for the candidate will include Dr. Ashok Krishnamurthy and Dr. Matt Satusky from RENCI, Dr. Emily Pfaff from