310 phd-in-computer-vision-and-machine-learning-"Multiple" positions at University of Oregon
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around the globe with their passions to advance the vision and priorities of the university. As part of UA, Donor Relations and Advancement Communications (DRAC) manages donor relations, events, volunteer
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a broad scope that includes, but is not limited to, areas such as Natural Language Processing, Speech, Computer Vision, Reinforcement Learning, Data Mining, Multi-Agent Systems, Robotics, Trustworthy
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data on program use and effectiveness. Learning Specialists must be culturally competent and able to work with first-generation, low-income, underrepresented, international, and transfer students
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programming and policies, effective written and oral communication, organizational skills focusing on policy formation and data, time management, project management, and computer proficiency. The Youth Program
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educator on issues pertinent to women and gender experiences and needs. The Program Director is responsible for guiding the vision through programs and services including annual events and educational and
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premier common adventure program in the country and the birthplace of modern collegiate outdoor programs. The Core Mission of the Outdoor Program is: “To inspire learning through student powered outdoor
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of Practice teach graduate-level courses in the Administrator Licensure program. Instructional duties include course preparation, teaching, preparation and evaluation of student assignments and exams, and
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backgrounds Preferred Qualifications • Doctorate • Teaching experience • Ability to teach in multiple modalities All offers of employment are contingent upon successful completion of a background check. The
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organizational, efficiency, and time management skills. • Strong computer proficiency, particularly with Microsoft Word, Excel, PowerPoint, and Outlook. • Commitment to working effectively with individuals from
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classes in the discipline. Our faculty research covers a wide range of areas in computer science, including high-performance computing, networks, AI/machine learning, data science, and cybersecurity