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foundational to complex systems modeling and central to modern machine learning. Candidates whose research includes computational components or contributes to the mathematical foundations of artificial
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responsible for collecting and analyzing data, and for producing project reports and peer-reviewed journal publications. Qualifications: This position requires a PhD qualification in Mechanical Engineering
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Analytics and Data Sciences (Analytics, Artificial Intelligence (AI)/Machine Learning (ML), Quantum Computing, Natural Language Processing (NLP), Technical MIS courses) · Cybersecurity (Network
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technologies (machine learnings and Artificial Intelligence) into the classroom and research are encouraged to apply. Candidates should be able to teach face-to-face, hybrid, and/or online courses in
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possess signatory authority for unit. Interview, select and evaluate non-exempt and temporary part-time support staff. Supervise, train and instruct them on methods and procedures. Provide direction
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degree Bachelor’s degree in a related field of study, preferred. Requires advanced knowledge predominantly intellectual in character in a field of science or learning acquired by a prolonged course of
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Requires advanced knowledge in a field of science or learning, predominantly intellectual in character. This knowledge is acquired by a prolonged course of specialized intellectual instruction. Experience
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. Qualifications: Requirements: Applicants must possess a health professional degree with additional graduate education or post-graduate training (e.g. PharmD with MS or MPH or fellowship) or a PhD with post
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of research data, contributing to the development of tools that enhance data-driven projects. Essential Functions: Assist in developing research database learning models for research-driven computer vision
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for a public or technical service unit in the University Library System. Work activities necessitate proficiency in library methods and procedures and the ability to utilize on-line computer systems and