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. The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to further
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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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to metal organic framework materials. Therefore, the synthesis of MOFs and preparation of suitable spectroscopic samples is required of the incumbent. Characterization techniques such as fluorescence
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competitiveness framework for Virginia’s forest sector. The successful candidate will work closely with Dr. Pipiet Larasatie and collaborators across academia, industry, and extension to conduct mixed-methods
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assessment models, and statistical modeling in both frequentist and Bayesian frameworks • A solid track record of publications Appointment Type Restricted Salary Information Commensuate with experience Review