441 software-engineering-model-driven-engineering-phd-position positions at Virginia Tech
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to identify opportunities to leverage technology to transform finance work, challenge existing processes, and envision, design, and communicate a future state for the finance operations. • Lead the financial
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The Controller's Office provides the tools, resources, and expertise to support the university's complex and highly regulated financial operations. With a strong focus on technology, efficiency, and
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models to investigate the biological roles of MVs in S. aureus pathogenesis and to assess the efficiency of vaccine candidate against S. aureus infections. In addition to the research role, the candidate
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Management o Supervise facilities engineering staff, including technicians, engineers, and contract personnel. o Direct daily activities of engineering and maintenance teams. o Assign tasks, set priorities
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operational excellence across the organization. The position will ensure that program services receive strategic attention and appropriate resources in support of the university and NI&S missions. The Associate
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spatiotemporal analytical approaches and software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch
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Job Description The Department of Mathematics seeks a Senior Fiscal Technician to support the administrative, financial, and research functions of the department. This position will report directly
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Job Description Dr. Zhiwu (Drew) Wang’s research team at Virginia Tech invites applications from highly motivated candidates specializing in environmental engineering, specifically focused on PFAS
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, as well as supporting software installations and peripherals. The technician will collaborate with the AAD IT support team to address service calls and provide professional customer service
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implementation. This position shapes TLOS’s research agenda, guides strategic academic technology decisions, ensures compliance with data governance standards, and advances evidence-based technology adoption