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Field
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant
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Schedule TBD by Program Director Remote/Telecommuting Hybrid (part-time working on site, part-time working off-site) Position Summary POSTING FOR UNMC EMPLOYEES ONLY This Research Data Specialist position
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Evaluation Research (HEER) Program, we provide accessible data to policymakers, advocates, and the public. Our work focuses on understanding social drivers of health, revealing health inequities, and
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involves analyzing data obtained by cosmological surveys such as DESI, Euclid, Roman and others, developing new methods and algorithms, supporting other group members in particular graduate students, and
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: Apply Position Description Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab, Finance Industry) Education: PhD in Math, Science, Engineering and other
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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Computer Science Division Academic Affairs Department Coll of Computing&Informatics (Col) Work