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the Biomedical Engineering Program, developing courses for the traditional classroom setting, computer labs, and for online education; help setting program goals, developing and continually updating the curriculum
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, Statistics, Artificial Intelligence, Parallel and Distributed Systems, Cryptography, Computer and Network Security, Computer Vision, Image Processing, Natural Language Processing. Job Requirement Candidates
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equivalent degree) in a related science (biomedical imaging, applied mathematics, engineering, computer science, etc.) or at least four years of research experience. Specialists appointed at the Assistant rank
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, post-processing of images, patient transport, working with electronic medical records, and communication with physicians and other services. This position also includes call and holidays. Qualifications
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with
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radiographic exams and processes images on various archival systems. Professionally accountable for submitting high-quality images to PACS. Participates in performance improvement activities in the department
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: Master's degree in Computer Engineering or related field The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions
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-of-the-art infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre). Being part of a rapidly evolving
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
include a state-of-the-art spine and imaging center and a 22-bed neuroscience ICU. The department emphasizes team science, partnering with UNC Lineberger Comprehensive Cancer Center, Biomedical Research
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strengths and contribute actively to their goals, including leading research programs that exploit molecular imaging capabilities to enhance the radiopharmaceutical program at UQ. These activities should