538 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at Virginia Tech
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officers, and the college and program staff to foster a productive work environment. • Ensure compliance with the University, state, and federal laws, policies, regulations, and the CASE Donor Bill of Rights
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engineering effort, plan implementation, and deploy changes that meet requirements for functionality, performance, reliability, and adherence to best practices. • Leverage public cloud services and on-premises
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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Qualifications -Currently pursuing or recently completed a B.S. degree in Computer Science, Mathematics, Statistics, or related technical field, or equivalent experience. -Knowledge of programming fundamentals
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Job Description The Myers-Lawson School of Construction (MLSoC) Academic Advisor will be cross-trained in the Building Construction (BC) and Construction Engineering and Management (CEM) programs
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activities for research programs. This role will serve as part of the research team working collaboratively and independently to analyze, interpret, and disseminate data for funded research projects. Research
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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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multidisciplinary experiences at the rank of Collegiate Assistant Professor (non-tenure track). This position supports the teaching mission of the DVM program by providing preclinical instruction, patient care
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responsible for program management in assigned areas of responsibilities (i.e. Satisfactory Academic Progress, Professional Judgments, Outreach and Communication, and Education Abroad, etc.) The advisor assists
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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