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for runoff quality studies, conducting laboratory analyses, conducting statistical or numerical analyses, or conducting computer modeling/geographic information (GIS) analyses. This is a part-time, off-campus
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breeding program at Virginia Tech under the mentorship of the program lead, Principal Investigator (PI). The applicant is expected to develop and apply novel predictive breeding methods using high
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Communities Convergence (IRCC) Lab in Arlington, Virginia. We seek candidates with a proven track record of scholarship in civil engineering and extensive experience with advanced computational modeling and
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requirements and modeling complex business processes. • Ability to work on multiple projects simultaneously, independently prioritize tasks, and meet project deadlines. • Ability to communicate complex concepts
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welcoming and supportive environment where all people can succeed and thrive. The successful candidate will lead a vibrant, externally funded research program that is recognized for scientific excellence
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and hydraulic models associated with the university infrastructure systems. The successful candidate will be responsible for analyzing, assessing, and recommending improvements for existing and proposed
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mission. The Residential Well-being (RWB) model at Virginia Tech is an innovative, wrap-around approach to inclusion, belonging, and mental health support in the campus environment. HERE'S WHAT YOU NEED
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graduate students, pursuing a program of research leading to publication in major academic journals in marketing and allied fields, and university service including committee and outreach activities as
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to temporal data, such as RF I/Q streams, audio, or video. (2) Quantum information science and engineering, with emphasis on quantum algorithm development using current and/or near-term quantum computers (3
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, process, and product documentation. Please note: sponsorship is not available for this position. Required Qualifications - Master’s degree in computer science, Information Systems, STEM, or a related field