560 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"Prof"-"O.P"-"U.S" positions at University of Minnesota
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& Activities (SUA) is a department within the Office of the Vice Provost for Student Affairs at the University of Minnesota. SUA provides a variety of programs and services to the University community
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. d. Collaborate with other NCROC program leaders to align resources and support cross-program needs. e. Maintain work hour records for students and summarize direct team work hours per research project
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learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care
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. Prepare for, schedule, and participate in pre-site selection visits, site initiation visits, monitoring visits, program audits, etc. by coordinating the visits and schedules, leading facility tours, and
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or decorations as needed for events or programs. 35% – Floor & Surface Maintenance Vacuum carpets and perform deep cleaning using extraction and shampoo machines. Scrub floors with industrial scrubbers and apply
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educational and programmatic goals while also maintaining a balance between aesthetic standards and education program participants’ hands-on direct experience with plants. As such, the position is expected
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BCBAs and related staff in the development and refinement of skill-acquisition programs ●Supervise BCBAs and related staff in the development and refinement of behavior-reduction programs ●Participate in
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. The successful candidate will be expected to carry out a vigorous program of original research at a world-class level, advise graduate students, teach undergraduate and graduate courses in the Department
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notebook record keeping Ability to help design research studies and independently plan and perform complex experiments and data analyses Previous experience with laboratory animal handling, preferably rats
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collection and analysis tools including, including R, Jamovi, SPSS, REDCap, Qualtrics, etc. • Familiarity with programming and scripting languages relevant to scientific computing (e.g., MATLAB, Python, R