144 parallel-computing-numerical-methods-"https:" positions at Wayne State University
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appropriate office methods and procedures. Perform related work as assigned. Unique duties: This classification, found throughout the University, performs the full range of basic, routine secretarial duties
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functional supervision to subordinate clerical and technical personnel. Train in appropriate bookkeeping and accounting principles and methods. Answer questions and resolve problems as needed. This description
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Compliance (EHS) Analyst bridges the gap between research and operations, serving as a technical lead for the chemical inventory program and executing annual regulatory compliance requirements across
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-exempt and temporary part-time support staff. Supervise, train and instruct them on methods and procedures. Provide direction to department employees on methods and procedures. Monitor workflow and
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sciences core center (P30 ES036084) (https://cures.wayne.edu), and the Center for Leadership in Environmental Awareness and Research (CLEAR) Superfund Research Center (P42 ES030991). Successful faculty
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, Singularity), and cloud resources. Develop documentation and training materials to accelerate team onboarding. Mentor graduate students and junior researchers on computational methods and reproducible research
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learning in other studio courses, which may include dance technique (African or African diasporic techniques, Contemporary, Modern, or Ballet techniques), repertory, or teaching methods depending upon
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Digital Audio Capture System (DACS) and record programming for broadcast. Edit broadcasts utilizing Digital Audio Delivery System (ENCO) and traditional splice/tape methods. Set up and record satellite/ISDN
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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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software skills. Preferred qualifications: Master’s degree in Biostatistics, Statistics, Biomedical Informatics, Artificial Intelligence, Machine learning, or closely related discipline preferred. - At least