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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written
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linear programming, mixed-integer programming, nonlinear optimization, stochastic optimization, robust optimization, or multi-objective optimization. Experience integrating machine learning or data-driven
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direction to members of the catalysis staff by defining group research goals, strategies for achieving these goals, and then implementing these strategies in order to maintain a high-profile research program
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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the Argonne energy storage ecosystem, working closely with the Argonne Collaborative Center for Energy Storage Science (ACCESS). Continue a world-class research program related to energy storage and
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. The candidate will assume a primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond
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experimental methods, and high-quality research outcomes. Key Responsibilities Plan and execute radiochemical laboratory experiments involving radiotracers, irradiated targets and materials, and aqueous
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Argonne National Laboratory has a long-standing tradition of attracting top early career talent through the Named Fellowship Program. These prestigious fellowships are awarded internationally each
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communication skills, as well as the ability to work effectively in a multidisciplinary research environment. Major Action and Supporting Actions : Conducts experimental programs in in-situ and ex-situ ion