192 parallel-and-distributed-computing-"UNIS"-"Humboldt-Stiftung-Foundation" positions at Wayne State University
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, Demonstration, and Youth). This role is responsible for the day-to-day administrative and programmatic management of both initiatives. KEY RESPONSIBILITIES Program Leadership & Strategic Oversight -Develop and
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ATS. Some knowledge of and experience with PC and computer based applications and local area network technologies. Reasonable knowledge of and experience with University policies and procedures. Some
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proposals for new projects and continued program funding. Identifies public and private funding opportunities. Monitors various online and print publications and websites for source information, at the local
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and direction to the Center for Social Work Research (CSWR) Support Lab in the School of Social Work. This position will train and supervise the Program Project Assistant II; provide high-level
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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
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, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society. Position Purpose: Coordinate sponsored program administrative functions
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knowledge of and experience with PC and computer based application and local area network technologies. Considerable knowledge of University administrative systems, including FMS/BAR, HRMS, PPS, GBS
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the personnel or activities of an assigned unit, e.g. summary of travel expenses, status reports of program applicants and academic examination score reports. Provide typing duties of a standard and non-standard
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investigators, sponsors, other Sponsored Program Administration teams, collaborators and/or other involved parties. Essential Functions: Collaborate with principal investigators, sponsors, faculty, university
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collaborative environment. Microsoft office software skills. Preferred qualifications: Master’s or Doctoral degree in Biostatistics, Statistics, Biomedical Informatics, Computer Science or a closely related