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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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no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. ● Demonstrated research expertise in federated learning, differential privacy, machine
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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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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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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results. The successful candidate will join a
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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. • Possess molecular virology or protein biology skills. • Should be enthusiastic and dedicated, have the ability and interest in learning new techniques; must be able to follow verbal and written instructions
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ethic, and enthusiasm for learning as much as prior technical expertise. Note: Candidates with complementary training backgrounds are encouraged to apply if they bring strong motivation to learn new
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is supported to learn new techniques, take ownership of their projects, and build toward their next career step. We treat each other as colleagues regardless of title or seniority. We share protocols