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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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Employee & dependent scholarship program to pursue higher education Generous retirement plans with university match Learn more about working for UNL: https://go.unl.edu/aboutus As an EO/AA employer
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Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of
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related to cancer biology and/or treatment, and will have achieved distinction in their research. Candidates are expected to maintain an impactful research program in cancer research, teach effectively
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Environmental Medicine Web site for additional information: http://dukeoccmed.mc.duke.edu/ If you are interested in finding out more about this opportunity please contact Carol Epling, MD MSPH or Kristen Said, MD
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reliable data pipelines that power machine learning models, analytics platforms, and enterprise reporting. They will have responsibility for sourcing, cleaning, validating, and integrating data across
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Licensed Pharmacist Physical Requirements
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both undergraduate and graduate levels. Applicants for the Research Assistant Professor position
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week