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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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interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
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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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, with opportunities to publish, contribute to proposals, and gain experience in laboratory and project management. For more information, please visit: https://nmfc.me.vt.edu/. Required Qualifications
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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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year. The individual will also be responsible for writing documents, including grant reports and publications. Required Qualifications • PhD in Mathematics or a related field with a background in
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collaboration. Required Qualifications - Ph.D. in Forest Products, Forestry, Natural Resources, Sustainability, or a related field. PhD must be awarded no more than four years prior to the effective date
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Registry to advance recovery science. In addition, this position will work on secondary data analyses from clinical trials for opioid use disorder that are part of a funded project. Moreover, ARRC has
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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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talks to professional audiences. Required Qualifications - Ph.D. in mathematics or a related discipline at the time of appointment. PhD must be awarded no more than four years prior to the effective date