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                completion of a background check. The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more 
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                University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit our website 
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                Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information Science 
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                of employment are contingent upon successful completion of a background check. The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement 
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                proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit https://hr.uoregon.edu/about 
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                (Alliance) aims to transform human health on a global scale through the discovery and translation of the biological principles underlying athletic performance. The design team behind the Alliance is focused 
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                graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b 
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                on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment 
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                upon successful completion of a background check. The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time 
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                machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well