26 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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), 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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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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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
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. Renewals will be dependent upon program needs, funding, and performance. Salary will be dependent upon education, experience, and available funding. Possible research areas encompass program development