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for device characterization Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Ideal candidates will have experience in one or more of the
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-based modeling for materials design and performance prediction. Self-motivated and able to work in a team with minimal supervision. Create a Job Match for Similar Jobs Logo About The Ohio State University
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department. The project aims to advance predictive modeling frameworks for structural architected materials that exhibit complex instability and bifurcation phenomena. The research will involve close
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and lanthanides within controlled atmosphere gloveboxes. Apply chemical thermodynamic and kinetic theories to understand processes and develop models of material interactions and behavior in molten salt
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based in the Department of Supply Chain Management. The successful candidate will contribute to research at the intersection of people-centric operations, social sustainability, analytical modeling, and
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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Academy of Engineering) and is fixed-term for 5 months. You will join the design by fundamentals team, developing material models to guide fusion reactor design. You will be responsible for performing
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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., encoder models, multi-modal embeddings, large language models), and mathematical modeling to map scientific concepts and their relationships, tracing how they change, merge, or diverge across time. Your