28 phd-studenship-in-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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(dark matter, baryogenesis) and machine learning applications in these topics. The University of Oregon also has an experimental high energy physics group involved in the ATLAS experiment at the LHC and
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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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), 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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on highly technical projects • Strong computer, statistical, and technical skills Preferred Qualifications • Experience in intervention development, training, or fidelity monitoring preferred
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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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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
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junior trainees in the lab; and will manage, maintain and provide technical expertise for lab equipment, protocols, and programs. Minimum Requirements • PhD in Electrical, Mechanical, Biomedical
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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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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