155 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Wayne State University
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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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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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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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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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systems and standard office equipment. Essential Functions: Perform routine circulation, reference and media desk services. Process interlibrary loan and other requests for book charges, discharges, and
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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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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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character in a field of science or learning acquired by a prolonged course of specialized intellectual instruction. Experience: Entry level (less that a year of job-related experience) Experience performing
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procedures. Acquire knowledge and understanding of Wayne State University academic programs and student services to educate students and their families about the University's strengths, and thereby enable