1,043 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at University of Minnesota
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to secure storage/mechanical area content against loss and other duties as directed by management. Qualifications Required: 1. Must be a self-starter 2. Able to multiple task 3. Able to work mornings, nights
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completion which includes working with multiple offices such as academic departments, academic support services, study abroad programs, and career services Facilitate conversations that focus on core career
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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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930 acre research farm located in Waseca, MN. As an active farming operation, SROC has research programs in the areas of Agronomy, Dairy, Horticulture, Nematology, Soil Management, Renewable Energy, and
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multiple seed grant programs, matching funds for federal awards, limited submission competitions, and impact awards. The ED role will provide strategic leadership, operational oversight, and program
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delivery and/or reporting. Advanced user of MS Office (Word, Excel, Access & Powerpoint), and/or internet-based collaboration tools. ● Experience working in an environment with multiple stakeholders and
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collection activities across multiple research projects, ensuring the accuracy, consistency, and integrity of data in alignment with study protocols, institutional policies, and ethical standards. ●Design
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successful completion of the required probationary period, though at least three days of in-office work will be expected. Responsibilities: Program Support – 50% o Occupational Health Program support Advise
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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
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% of time), 2) building a quality-checked database for multiple studies and datafields (25%), analyzing the data using a variety of statistical approaches in R (25%), and generating high-quality figures and