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, supportive family-friendly work environment in a stimulating academic setting. At ECS, we value the contribution that diversity brings to our work and culture. Understanding and learning from our differences
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in international political economy (IPE), China-related expertise, and innovative data analysis methodologies such as machine learning and the use of AI. Competitive applicants will be capable
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, overall facilitating interdisciplinary collaboration across the university. Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty
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and model a positive and proactive attitude. • Provide superior customer service. • Basic computer proficiency including MS Office applications. Preferred Qualifications • Experience conducting and
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change-makers who will enrich the future. We value equity and inclusion, responsibility and integrity, innovation and learning, and safety and security. University Housing staff work hard to incorporate
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to develop community leaders, innovators, and change-makers who will enrich the future. We value equity and inclusion, responsibility and integrity, innovation and learning, and safety and security. University
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, experience with teaching, knowledge of the scholarship of teaching and learning, and your plans for inclusive and research-informed teaching and mentoring. 4) In line with the department and university
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Apply now Job no:533936 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Data Science Department: CAS School of Computer & Data Science Rank: Instructor Annual Basis: 9