467 phd-studenship-in-computer-vision-and-machine-learning positions at Virginia Tech
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practices and procedures -Strong computer skills to include data entry -Some knowledge of query language, programs and office applications -Data analysis experience -Ability to process large volumes of work
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. Experience with both experimental and computational approaches is desirable, as is proficiency in widely-used microbiological methods. The Aylward lab is a vibrant and dynamic work environment that welcomes
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, and policy. Required Qualifications • PhD in economics, applied economics, or a related field combining computational / quantitative modeling and methods with economic theory and / or applications by
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, materials, virology, computational biology, science communication, community engagement, and ethics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below
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, university policy, and legal compliance. Required Qualifications · Bachelor's degree in web development, web design, information science, computer science, instructional design, learning technology, assistive
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information; use computer applications; develop and implement evaluation plans; recruit, train and utilize volunteers, enabling them to plan, conduct, evaluate and report educational activities; provide
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various groups. Demonstrated computer skills in Microsoft applications for database management using electronic spreadsheets. Experience in prioritizing tasks and working independently while performing
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professional references with complete contact information. Required Qualifications A PhD degree in electrical engineering, computer engineering, computer science, or a closely related field completed prior
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educational information programs; knowledge and use of computer technology in educational programming and management and presentation skills; excellent communication skills and the ability to work effectively
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Job Description Applications are invited for a full-time Research Assistant Professor position in Virginia Tech's Bradley Department of Electrical and Computer Engineering. The successful candidate