218 programming-"Multiple"-"Duke-University"-"O.P"-"Humboldt-Stiftung-Foundation"-"U.S" positions at University of Minnesota
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reports. Activities may involve data from multiple departments or colleges. Manage accounting of a local unit’s sponsored and non-sponsored accounts. Develop and maintain local chart of accounts structure
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speaking multiple languages, living or traveling internationally, professional work in a cross-cultural team or setting. About the Department Career Services Administration is a unit under the Office for
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/Postdoctoral Scientist under the Principal Investigator. The candidate will perform complex procedures such as screening and maintaining multiple transgenic mouse cohorts, routine behavioral observations and
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Director to develop, manage, plan, and evaluate Student Access services, programs, and projects in order to effectively provide accommodations for students and visitors at the University of Minnesota
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initiatives for diverse stakeholder audiences. Strong project management and organizational skills with ability to manage multiple priorities. Strong writing, editing, and content development skills, with
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) and developing meaningful scaled score formulas and metrics. The post-doctoral associate will support multiple aspects of this work, including conceptualization and design of the scale scores, computing
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organ, tissue, or eye donation, or in a healthcare related field and direct patient contact. Experience prioritizing multiple tasks with varying/simultaneous deadlines. Documented experience in decision
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. Experience in technology and software as related to the needs of the position (e.g., Word, Excel, Adobe, Google suite, etc.). Ability to simultaneously work on multiple projects with fixed deadlines and
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UMN employees are expected to follow applicable public health and safety procedures. This position is hybrid. JOB RESPONSIBILITIES Clinical Immersion Program (30%) • Create certificates and name badges
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expected to work on multiple aspects of one or more projects at any one time. This will include, but is not limited to, experimental design, implementation and data collection as well as the analysis and