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of modern collaborative coding practices Demonstrated experience with the application of multiphysics modeling to model complex physical phenomena Strong interpersonal, written, and oral communication skills
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experience with the application of multiphysics modeling to model complex physical phenomena. Strong interpersonal, written, and oral communication skills. Ability to model Argonne’s Core Values: Impact
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) is seeking a highly motivated Postdoctoral Researcher
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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integration Optimization and stochastic modeling methodologies Energy storage Electricity market analysis Supports multidisciplinary teams in the application of these methods and tools to complex issues in
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multidisciplinary team in heterogeneous Catalysis focusing on non-traditional catalysts and non-equilibrium catalysis • Design, synthesize, and characterize well-defined complexes supported on metal oxide or non
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discipline • A strong experimental background in transmission electron microscopy • Experience with focused ion beam preparation of electron microscopy specimens • Experience with analysis of complex images
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization