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We are seeking a highly motivated and innovative researcher working at the interface of modeling complex system and AI to join our team developing Large Language Models (LLM) based agentic code
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Tracker (ITk) Pixel upgrade. The ANL ATLAS group is responsible for the assembly and testing of a large number of ITk silicon pixel modules. The successful candidate is expected to contribute to the Argonne
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-fuels. Improve the computational efficiency and accuracy of physics-based and data-driven models for hydrogen/bio-fuel combustion in industrial burners. Work as a part of a multidisciplinary team
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optimization with computer-aided design software. Knowledge of machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis of large datasets, and
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industry experts, we are preparing scientific applications and AI frameworks to take advantage of this new resource for scientific discovery. Aurora will enable training of the first generation of Large
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the Postdoctoral Researchers’ work may be incorporated in the annual GREET updates. Postdoctoral Researchers collect and synthesize information to conduct LCA studies in the GREET modeling platform, manipulate large
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The Cosmological Physics and Advanced Computing (CPAC) group at Argonne invites applicants for a postdoctoral associate to conduct research on topics related to theory and modeling of large-scale
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. Ability to work with large volumes of hazardous chemicals. Flexibility to change projects and work on a variety of projects simultaneously. A successful candidate must model Argonne’s Core Values: Impact
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, TRITON, ANUGA, etc.). Understanding of hydrologic and hydrodynamic processes and coupled modeling. Experience in large-scale hydrologic and hydrodynamic modeling, calibration techniques, and data
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large data sets. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Job Family Postdoctoral Family Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed