495 3-phd-positions-in-computer-science-artificial-intelligence positions at Virginia Tech
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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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a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous
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, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes . A leading global research institution
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Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes . A leading global research institution
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Job Description Reporting to the Director of the Center for Human-Computer Interaction (CHCI) within the Institute for Creativity, Arts, and Technology (ICAT), the Writer and Social Media
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Facilities. The Facilities Support Assistant will receive and distribute all packages and mail for all Health Sciences and Technologies campus departments located in Roanoke, VA. The position will assist with
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with conducting various research tasks. This may include interaction with participants during data collection 3. Program/Research Support (10%) This position will involve up to 25% travel. This could
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Job Description This position supports a fisheries and aquatics resources science delivery program in partnership with the USDA Forest Service, Southern Research Station, Center for Aquatic
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Job Description The Project Coordinator plays a vital role in advancing the university’s annual giving program and donor growth initiatives. This position provides high-level administrative
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Job Description This position will assist the Hampton Roads AREC biological systems engineering (BSE) group in the installation, operation, and maintenance of field and laboratory data collection