31 condition-monitoring-machine-learning Postdoctoral positions at University of Oregon
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• Experience performing experimental and theoretical characterization of acoustic fields and cavitation monitoring • Proficiency in programming, particularly Matlab or Python • Experience using the Verasonics
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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
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, immersive technology, philosophy, and anthropology. Overall, our research is guided by the belief in the importance of conducting research in a supportive community of learning. The successful candidate will
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling
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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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from the PI. Postdoctoral Scholars will conduct research under the direction of a faculty member to acquire research training. In addition to career development, the postdoctoral scholar and PI will
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Associate positions will conduct research with only general guidance from the PI. Postdoctoral Scholars will conduct research under the direction of a faculty member to acquire research training. In
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acquire research training. In addition to career development, the postdoctoral scholar and PI will create and follow mentoring and individual development plans. Minimum Requirements Minimum qualifications
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undergraduate and graduate degrees. Our fundamental interest is in the nature of language, how language is used, and how this use impacts language learning, processing, and structure over historical and
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Apply now Job no:534052 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Information Technology, Research/Scientific/Grants, Computer and Information Science, Data Science Department