105 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköpings-University" positions at University of Oregon
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Apply now Job no:536154 Work type:Classified Staff Location:Eugene, OR Categories:Administrative/Professional, Administrative/Office Support, Computer and Information Science, Data Science
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with the Associate Director on budget management. • Oversee staff requests and building management needs for CAMCOR facilities. • Teach and help the Associate Director manage the AMAC program, including
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credentialing associations, CPE serves the public by enabling learning outside of the traditional university setting. Participants do not have to be an admitted student at the University of Oregon to participate
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campuses. Their work ensures that the University of Oregon community has a safe, efficient, reliable, functional, and attractive learning environment, supporting the University’s mission and vision. Together
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Apply now Job no:536228 Work type:Classified Staff Location:Eugene, OR Categories:Information Technology, Computer and Information Science Department: Finance and Administration Shared Services
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Apply now Job no:536127 Work type:Faculty - Career Location:Eugene, OR Categories:Information Technology, Library, Research/Scientific/Grants, Computer and Information Science Department: Libraries
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mission in a positive, inclusive environment where we strive to provide everyone with opportunities to grow, contribute, and develop. Our aim is to learn, teach, and practice the principles of equity and
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interactions. • Demonstrate the ability to effectively learn and work in multiple platforms. • Take initiative, looking for what needs to be done and doing it. • Pay close attention to detail. • Maintain a safe
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Scholars Program; Academic Residential Communities (ARCs); First-Year Interest Groups (FIGs); Student Academy to Inspire Learning (SAIL); Office of Academic Advising (OAA); PathwayOregon; Student Support
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affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics