725 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEC" positions at Rutgers University
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System. Additional information may be found at https://futureofwork.rutgers.edu . Payroll Designation PeopleSoft Terms of Appointment Temporary Staff Appointment - Hourly Qualifications Minimum Education
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and effectively with student-athletes, prospective student-athletes and their families, coaches, administrators, alumni, donors, and external stakeholders. Proficiency with computer applications and
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Close Date 08/16/2026 Qualifications Minimum Education and Experience •Master or Doctoral degree in social science discipline. •Minimum of three years of academic or professional research experience
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. Equipment Utilized Computer literate with proficiency in statistical and analytical software including R ( SAS , Python, Stata, NVivo, or Dedoose a plus). Physical Demands and Work Environment
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, including women and underrepresented groups. Interested candidates should submit their application online at https://jobs.rutgers.edu/postings/279381 Quick Link to Posting https://jobs.rutgers.edu
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, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: https
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, including women and underrepresented groups. Interested candidates should submit their application online at https://jobs.rutgers.edu/postings/279381 Quick Link to Posting https://jobs.rutgers.edu
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and evolution, marine science and oceanography, environmental sciences and meteorology, human ecology, entomology, and environmental economics. Statement Posting Details Special Instructions to
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and evolution, marine science and oceanography, environmental sciences and meteorology, human ecology, entomology, and environmental economics. Statement Posting Details Special Instructions to
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Posting Open Date Posting Close Date Qualifications Minimum Education and Experience PhD in Biomedical Engineering, Electrical Engineering, Materials Science, or a closely related field. Proven track