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. Candidates will collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science. This full
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applying these tools to catalytic reaction engineering and methane conversion chemistry. Required Qualifications - Ph.D. in Chemical Engineering, Chemistry, Materials Science, Physics, or a closely related
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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preferred qualifications below) in their application packet. Required Qualifications - PhD in Chemical Engineering, Biomedical Engineering, Materials Science and Engineering, Biological Sciences, Chemistry or
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spectroscopy, TCSPC, NMR, ATR-IR, PXRD, and surface area analysis will also be components of the work. Required Qualifications - Ph.D. in chemistry or appropriate related field (awarded prior to being appointed
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minimum of one year eligibility remaining. • Strong background in computational modeling, AI-assisted modeling, microbial testing, or paper chemistry and structural evaluation. • Experience with fiber-based
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Qualifications -Postdoctoral associate applicants must have a background in quantum information and hold a Ph.D. in Theoretical Physics, Theoretical Quantum Chemistry, or a closely related field. PhD must be