575 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Michigan State University
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until the position is filled. Applications must be submitted electronically to the Michigan State University Human Resources website http://careers.msu.edu. Posting number 1091682. For more information
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interest; Curriculum vitae; Three professional letters of reference with contact information. Special Instructions All candidates for the position must apply online at http://careers.msu.edu/ . Applicants
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equipment. Demonstrated knowledge of method development, validation, and quality control procedures in analytical chemistry. Sophisticated in data analysis using software or tools such as Excel, statistical
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. Students work in teams of 4–5 to design and execute research projects for real clients, developing skills in problem definition, research design, data collection, analysis, and presentation. The first half
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of End Date This is an off-dated position funded from date of hire until 12/31/2026 with possible extension contingent upon funding renewal. Website HTTP://CHMFAMILYMEDICINE.MSU.EDU/ Summary of Health
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labor market data from publicly available sources, developing causal identifications strategies related to labor market analysis, cleaning and analyzing data, conducting literature reviews, drafting peer
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at https://cvm.msu.edu/about/strategic-planning-2021-26/goals to learn about the MSU College of Veterinary Medicines goals, strategies, and progress. This posting will fill 10 vacancies. Minimum
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Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/ ) in the C.S. Mott Department of Public Health at Michigan
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work from WCC courses. Managing collected data storage and organization. Contributing to transcription of recordings and qualitative analysis of the data. Selected candidates will be trained by Doherty
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academic goals with mutual respect and shared inquiry. The position supports research on forecasting agricultural production and yields using geospatial data, machine learning, and ground-based measurements