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at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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, neuropathologists and clinical researchers, to translate findings across model systems and human cohorts. Mentor junior lab members, including graduate students and research staff, and contribute to fostering a
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Python/Matlab or similar. Other Valued Skills Experience in FDTD simulations of advantage. Experience in quantum photonic principles for quantum sensing such as ODMR. Quantum Chemistry/Modelling
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reporting, publications, and intellectual property generation. A successful candidate must model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Ability to work onsite at Argonne
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. Experience in evaluating ocular formulations in the animal model of ocular bacterial/viral infections. Experience in various techniques used for the synthesis of nanoparticles, liposomes, nanocrystals
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protein biochemistry, molecular biology, proteomics, and cell biology perform mechanistic studies in mammalian cell systems and mouse models design and implement CRISPR/Cas9-based genetic manipulation
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the nexus of AI, operations research and decision making and their applications to workforce policy and reskilling. The project builds on ongoing work using optimization-based models to predict future skill
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models for high-temperature structural materials with applications in nuclear reactors and other energy systems. The candidate will collaborate with ANL staff to review, validate, and enhance methods
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to study and model decision and judgment variability (i.e. noise). The scholar must be ready to conduct research including laboratory studies and simulations, assist in constructing computational cognitive