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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
Posting Information Posting Information Department Biomedical Res Imaging Ctr-426001 Career Area Research Professionals Is this an internal only recruitment? No Posting Open Date 03/12/2026
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sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable
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/Endoscopy/Digital Imaging 10% - Instruction 5% - Cleaning and Maintenance 5% - Ambulatory Visits & Immobilization Techniques Department Overview The Veterinary Medical Teaching Hospital (VMTH) is a unit that
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implementation of event activities, including team formation, challenge definition, and facilitation of collaborative innovation processes. Coordinate post-EpiHack prototype development, working with participating
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flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO) Proficiency in scientific programming using Python, with
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-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination Because we want you to feel seen and valued, our recruitment process at UC Davis supports openness and authenticity
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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19 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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the body during development and how defects in these processes can lead to birth defects and cancer. We use cell biological, genetic, biophysical, computational, and live-imaging approaches to visualize cell