12 information-security-"https:"-"https:"-"IFM" Postdoctoral research jobs at Virginia Tech
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of the position is 1+1 (optional year if mutually desired), totaling up to a maximum of two calendar years. The candidate will conduct research and mentoring duties, in addition to optional teaching of one course
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specialization in Data Science/Applied Econometrics and its application in applied economics and social sciences broadly defined. The position is one-year, 12-month, calendar-year appointment, with the possibility
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Environmental Engineering at Virginia Tech. While the primary focus is to conduct and disseminate high-impact research on human-water systems, the position is designed to accelerate your professional growth
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fingerprinting and forensics in multi-source watersheds. The Postdoctoral Associate will contribute to project design and lead laboratory work, data analysis and modelling in collaboration with the OWML PFAS
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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems. Candidates
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Job Description We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech. The successful candidate will work
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Job Description The Entomology Department is looking for a Postdoctoral Associate for the cytogenetic and genomic study of arboviral vector Aedes aegypti. The main objective of these studies is to
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and distribution systems, including unit load design and supply chain efficiency. • Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and
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systems. The individual will be responsible for: • Develop and implement models for the structural and mechanical performance and optimization of mass timber systems, using data-driven approaches