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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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. - Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models. - Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity
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characterization. The successful candidate will contribute to an externally funded research program focused on understanding structure-performance relationships in molybdenum-based zeolite catalysts for methane
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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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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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Job Description The successful candidate will join a vibrant research environment in the group of Prof. Vito Scarola at Virginia Tech (scarola.phys.vt.edu). The research involves the construction