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. Analyze and process healthcare data. Design and perform quantitative experiments, including in collaboration with scientific and clinical collaborators. Develop machine-learning analytics/AI. May mentor
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. Machine Learning and Programming 4. Cloud Computing. Desirable education and experience: A Ph.D. in Information Systems, Analytics, Decision Sciences, or a related field from an AACSB-accredited business
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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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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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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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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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the implementation of artificial intelligence and machine learning in design and manufacturing, materials informatics and big data design, smart manufacturing, characterization and processing of materials, scalable
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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