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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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researcher to join the Workflow Systems Group and help advance the use of AI in scientific discovery. This position centers on scientific machine learning, automated AI/ML optimization, and high-performance
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-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs. The successful
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. Design, optimize, troubleshoot, and document experimental protocols while maintaining accurate laboratory records and ensuring scientific rigor and reproducibility. Prepare manuscripts for publication
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of semiconductor and perovskite nanoparticles, whose chemical composition, shape, size and surface chemistry will be engineered in order to: a) optimize their optical properties with respect to their ability
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, chemists, chemists and engineers collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The “Advanced characterizations and optimized functional materials
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summarizing results, trends, and interpretation. Prepare visuals (graphs, micrographs, charts) for internal meetings and publications. 6. Collaboration and interdisciplinary communication Work in an
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focused on Artificial Intelligence (AI)-driven retrosynthesis and reaction prediction. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic
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biological approaches, in vitro cell culture systems, and novel mouse models. Optimal candidates will have experience with immunometabolism and use of these techniques and models. The overall goal is to
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. Andrew Tirpak (Research Assistant Professor) and Dr. Joey Smith (Research Scientist). The duration of the position is initially one year with the potential to extend beyond if performance expectations