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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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to address clinically relevant questions with clear translational potential. Postdoctoral fellows receive hands on training across experimental design, data analysis, and advanced methodologies, while building
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tailored to their career goals. Postdocs are actively mentored to publish, present, build collaborations, and compete for fellowships and career-development awards (e.g., NIH F32, K99/R00). The position is
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package and just one of the many things that make Virginia Tech a great place to work. • Research Support: Annual allowance for research-related expenses and conference travel • Resources: Computer and
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Academic Building One in the greater Washington, D.C. area and offers opportunities to collaborate with industry partners and government research organizations. For more information, please visit: https
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publications. Additionally, the candidate will contribute to mentoring research technicians and students involved in the project. We are committed to supporting your career development by building on your