144 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Wayne State University
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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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. Interview, select and evaluate non-exempt and temporary part-time support staff. Supervise, train and instruct them on methods and procedures. Provide direction to department employees on methods and
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2026 The Wayne State University Center for Urban Studies Computer Assisted Telephone Interviewing (CATI) Lab is seeking Telephone Interviewers to complete surveys over the phone with community members
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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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(Teaching) beginning Winter 2027. · Teach 4 (per semester) undergraduate/graduate supply chain management courses · Manage assessment and Student progress using the Learning Management System
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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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budgets for computer equipment and software. Additionally, incumbents have extensive knowledge in specialized systems for their area and are able to create programs and modify applications as necessary
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-Assisted Telephone Interviewing (CATI) : Work closely with others to set up call center procedures/protocols, including training, monitoring interviewer performance, tracking interviewing hours against
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ensure timely completion of tasks and alignment with established project goals. Serve as the primary liaison among principal investigators, content experts, learning design and technology specialists, and