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The candidate should have strong problem-solving skills and be highly motivated. The candidate must have a Ph.D. in chemistry, biochemistry, molecular biology, structural biology or a closely-related field
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, Chemistry, Materials Science, or a closely related field Knowledge of heterogeneous catalysis, reaction kinetics, thermodynamics, and structure–reactivity relationships Ability to design and operate catalytic
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thermal signals with high sensitivity and nanoscale spatial resolution, opening access to biophysical structure and dynamics that are difficult or impossible to reach with conventional techniques
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, including techno-economic and life-cycle assessment, to guide designs toward scalable, low-carbon fuel pathways Characterize materials and analyze performance data to establish structure–performance and
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, problem-solving, collaboration — using a pre/post design with approximately 300 co-op students, paired with structured employer interviews and a library of just-in-time learning interventions
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Qualifications: Ph.D. in Chemistry, Computer Science or equivalent In-depth knowledge and hands-on experience in MD simulation and molecular modeling Experience in processing and analyzing protein structure and
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. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
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. This opportunity will involve working on an NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult