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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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discretion. Strong attention to detail, including close reading and editing. Ability to learn and adapt to computer software and applications required. Familiarity with Microsoft Office Suite, particularly
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courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with
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Grade Level 41 Salary Range $16.15-25.81/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu/employment
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programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is
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learning on and off campus, including a growing emphasis on international experiences through short- and long-term study abroad. Students also have access to a robust program of applied research and outreach
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learning opportunities for students to enhance their ability to meet learning objectives which align with the program’s curriculum design. Manages the admission process for students to the OTA program in
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for Transportation (VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/40950 Job Number SE234124 Position Information Department or Unit Name Dodge College