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ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in applied physics, optics, biomedical imaging, or a related field; Strong expertise in
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co-authorship of at least five chapters in monographs in the fields of visual systems, image information engineering, VR/AR technologies or biomedical engineering, experience in applied research and/or
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- Neuroscience & Cell Biol Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting
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theranostics and multimodal imaging technologies Neuroinflammation and mechanisms of neurodegeneration AI-driven diagnostic and monitoring solutions integrating biomarkers and sensor technologies in veterinary
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Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/257430 Campus Rutgers Biomedical
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platform using AI. Involve in the development, implementation of the platform, as well as integration with multi-modal data from electronic health records, medical images, and sensor data from wearable
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Intelligent (AI) systems. We design application-specific image sensors with AI for biomedical and industrial applications. We are looking for new graduate students or postdoctoral fellows to conduct research
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to tackling the challenges that China and the world are facing in the fields covering artificial intelligence, biology, biomedical engineering, data science, electrical engineering, energy, environment, human
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-modal data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize