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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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Post-Doctoral Associate to conduct research in solid-state nuclear magnetic resonance spectroscopy, materials synthesis, computational chemistry, and advanced structural characterization of functional
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be based in the IST and will have opportunities to collaborate across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Institute for Computational and Data Sciences
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in science communication as part of the Civic Science Fellows program (https://civicsciencefellows.org/ ), supported by the Rita Allen Foundation. The Civic Science Fellows program is a cohort-based
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particular strengths in nutritional and computational metabolomics, dietary biomarkers, micronutrient metal nutrition, nutritional immunology, marine food science, plant based foods, food biotechnology and
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Location ST. LOUIS, MO 63110 Position Summary We are seeking a Postdoctoral Researcher to join our exciting and mission driven research program. We are a team-oriented, basic-translational lab
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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/classical treatment. Experience in quantum chemistry and reaction dynamics. Interest in applying methods to simulate materials to be used in quantum computation technologies. Strong programming skills
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, biological sciences, computer science, machine learning) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Previous experience developing statistical methods or working
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partnerships (25%) Qualifications Required Qualifications: PhD in Kinesiology, Exercise Science, or Related Field; basic proficiency in statistical and qualitative analyses using relevant softwares; experience