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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
the mentorship of Dr. William Polacheck in the Lampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill & North Carolina State University, the Post-Doc Research Associate
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program Registered or eligible with the American Registry of Radiologic Technologists Licensed by the State of Arkansas in Radiology Technology Bone Densitometry Technologist Certification within one year
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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assistance or if you have questions about a job posting, please contact Human Resources at [email protected] . Department: ICE | IGSL Magnetic Resonance Imaging IOP Department's Website: Summary of Job
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Research Training Program. The successful candidate will undertake an intensive post-doctoral training program for up to two years in which they will acquire core skills in research methods including
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DBMI in the CU SOM Associate Professor: · PhD in biomedical informatics or a related technical field (e.g., computer science, engineering, physics, applied mathematics, statistics) OR MD/DO plus
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an academic pathology program recognized as a national leader in high quality diagnostics, research and education by leveraging state of the art emerging technology, applying new knowledge to meet patient needs
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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location. Qualifications: Minimum Qualifications: Graduate from a 2-year certificate program certified by the ASRT in Radiology Technology Registered by the American Registry of Radiologic Technologists
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and