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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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, 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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. 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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as well some basic data analysis and presentation. Training is provided for all above skill and techniques. Some familiarity with the above techniques/requirements is a plus. Strong intrapersonal skills and
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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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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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lab-related activities. The Research Assistants will work as a team with current HBCD staff in data collection (EEG, behavioral observations, cognitive battery) in our Blacksburg campus lab and at our
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with governmental and industry partners. • Familiarity with environmental policy and regulatory frameworks. • Experience in data science, computational chemistry, and/or contaminant transport modeling
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, economics, planning, and/or infrastructure field(s) to ensure the ability to perform and improve efficiency/effectiveness/efficacy of analysis and methods. Interest in housing programs, policies, and data