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approaches include, but are not limited to, computational, clinical, and neuroimaging research. Applicants are expected to hold a Ph.D. in Psychology, Neuroscience, Computer Science, or a related discipline
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Associate positions to join our team. Candidates will work with Dr. Arash Adel (Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science) and other
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: 277511505 Department Politics Category Communications and Public Relations Job Type Full-Time Overview The Communications Coordinator works under the direction of the Program Manager to support and further
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Princeton University, PIIRS Fellowship ID: Princeton University -PIIRS -PIIRSPDRA [#30362] Fellowship Title: Postdoctoral Research Associate, PIIRS Postdoctoral Fellowship Program Fellowship Type
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Branch). We welcome applications from candidates using biological, chemical, physical, engineering, and/or computational approaches to tackle questions at this interface. We are particularly interested
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, Marketplace, Work Order, and project management platforms Maintain calendars and schedule meetings for Keller Center team members and programs Support budget and purchasing processes as needed Program and Event
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faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please
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administration; interest in using technology and data/metrics to work more efficiently and intelligently Understanding of key performance indicators in sponsored programs offices and comfort level with data
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participate in other pertinent OIT and/or campus computing groups. Qualifications Essential: A bachelor's degree in Computer Science, related field or equivalent work experience, with experience in a university
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with total work systems (such as the Institute for Healthcare Improvement, Accreditation Association for Ambulatory Health Care, and Baldrige National Quality Program); and reviewing and analyzing data