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protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We
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Bioengineering , Neural Engineering , and Computer Science + Bioengineering , three Masters of Science and Engineering programs , and one doctoral program , with total enrollments of 633
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
engineering, electrical engineering, applied physics, materials science, computer science, or a closely related field, completed by the start date of the appointment. Required Qualifications
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering Leuven VIB Center for AI & Computational Biology Group Leader / PI Posted Date 12 Oct 2026
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We also welcome applicants
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We also welcome applicants
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in 2010, UD BME is ABET accredited with world class research programs in disease modeling, drug delivery, nanomedicine, neuroengineering, musculoskeletal biomechanics, and cell and tissue engineering
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on supporting foundational and translational research. QUALIFICATIONS Candidates must hold a Ph.D., M.D., or M.D./Ph.D. in neuroscience, engineering, computer science, biology, physics, or a related
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using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and genomics. We also welcome applicants with
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of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications