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. Opportunities are provided for diverse career development activities, including: • Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). • Networking: Establishing a strong
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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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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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are provided for diverse career development activities, including: • Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). • Networking: Establishing a strong professional
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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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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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, and contact information for 3 references. Required Qualifications - PhD in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering or a related
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending
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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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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