Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
health. Program Leaders support the seamless transition from the school day to after-school, including snack and meal distribution and homework help. Program leaders will undergo training to support
-
Employee discount programs Position Status Part Time Working Hours 19.5 hours per week Daily Work Shift Day Work Arrangement This position requires a fully on-site work arrangement. Payroll Designation
-
accountable for operational execution of assigned clinical and translational research studies while serving as the primary day-to-day operational resource throughout the study lifecycle. The individual will be
-
and responsiveness to help plan, organize, coordinate, and manage day-to-day activities related to various research, quality, and scholarly projects within the Division, this includes IRB, REDCap
-
Position Details Position Information Recruitment/Posting Title Sr. Program Coordinator - (First-Year Interest Group Seminars Program) Job Category URA-AFT Administrative Department Career
-
Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Day Work
-
programs Position Status Part Time Working Hours 10 - 15 hours per week Daily Work Shift Day Work Arrangement This position requires a fully on-site work arrangement. Payroll Designation PeopleSoft Terms
-
documentation and data systems, and supporting day-to-day research operations. The Research Support Associate will serve as a liaison with the Rutgers Institutional Review Board (IRB), assisting with protocol
-
, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Rutgers, The State University of New Jersey, is seeking a highly qualified candidate for a Postdoctoral Research Associate
-
” experimentalists in the research group and with interdisciplinary collaborating scientists. Elements of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales