1,022 proof-checking-postdoc-computer-science-logic positions at University of Minnesota
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program whether in person or virtual. Serve as a visible, approachable presence on campus through regular walk-throughs and proactive engagement with students. Respond promptly and compassionately to safety
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generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
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students through the MSP LTER (Minneapolis-Saint Paul Long Term Ecological Research Program). Qualifications Required Qualifications: PhD in Environmental Science, Ecology, Behavioral Ecology, or a related
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. Commitment to good data management is a highly desirable skill for this job. Experience with data visualization and preparation of scientific manuscripts are desirable skills. Desired start and end dates
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Partnerships (20%) Work with teacher licensure program faculty to design and execute a strategic vision for school partnerships that aligns with the goals of the teacher preparation programs and the broader
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and computation. We are based in the vibrant and multicultural city of Minneapolis, with over 200 medical institutions, 550 square kilometers of lakes and parks, two internationally acclaimed orchestras
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● Experience in a parking program. ● Experience at a university or a campus setting. ● Ability to process cash and credit transactions in a timely manner. ● Ability to organize information from multiple sources
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Class Civil Service Add to My Favorite Jobs Email this Job About the Job Job Description: The College of Arts, Humanities, and Social Sciences (CAHSS) Advising and Academic Services seeks a specialist to
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the Humphrey School of Public Affairs and Department of Political Science with her research project to clean and finalize a comprehensive, global database of corporate human rights abuse allegations. This is a
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired