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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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Job Description The Gregus/Buczynski Lab is seeking a motivated postdoctoral fellow to join an extramurally funded, highly collaborative research program focused on developing new, mechanistically
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, College of Engineering as well as the new Virginia Tech’s Institute for Advanced Computing (IAC) located at the Washington DC metro. The position involves conducting research in federated learning, and
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, USA). The primary focus of the postdoctoral associate will be to integrate organoid development with single-cell omics methodologies. The postdoctoral associate will have opportunities to collaborate
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testing, and thermal performance evaluation. Through collaborative partnerships with industry and government agencies, we conduct cutting-edge research in transport packaging performance, unit load design
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be
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innovation. Our state-of-the-art facilities support advanced manufacturing processes involving biopolymers, bioplastics, and other functional materials. Through strong collaborations with industry and
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending