35 computer-vision-and-machine-learning Postdoctoral positions at University of Oregon
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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
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Qualifications • Highly recommended by scientists in the candidate’s field of study • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale
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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
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), supernovae, gravitational wave sources, magnetic activity in exoplanets, and machine learning classification. The candidate will lead and participate in observations and data analysis of these sources in all
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to the work of the position. • Strong computer, statistical, and technical skills. Preferred Qualifications • Prior experience with qualitative data collection and analysis for implementation research
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of Education at the University of Oregon that conducts research on teaching and learning in STEM+C education (science, technology, engineering, mathematics, and computing) with an emphasis on creating and
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for its open research pool. Positions are limited duration appointments potentially renewable for up to a total of three years. Potential areas of research include: program development; statistical analyses
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environmental education. The IROCE has a number of program areas, including the Ecosystem Workforce Program, Disaster-Resilient Universities network, Location Innovation Lab and several individual research
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appointments that may be full-time, part-time, or short term, with initial duration not to exceed one year. There may be a possibility of renewal up to a total of three years, depending on program needs, funding
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Chemistry and Biochemistry, and Graduate Degrees at the Master's and PhD level. Our undergraduate program provides training for students planning careers in the chemical and biological sciences, and also for