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) Proficiency in programming languages such as Python or C++ Experience with AI frameworks like PyTorch or TensorFlow Strong communication skills and ability to work in a team environment Ability to model
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. Strong programming skills in Python, or other relevant languages used in AI/ML. Significant knowledge in machine learning (ML) and applied mathematics. Ability to conduct independent research and
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advanced techniques Plan and execute research on battery materials using structural, chemical, mechanical, and electrochemical methods Maintain adherence to all Laboratory and Divisional Environmental
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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scientific programming language Experience with ML software such as Tensorflow and PyTorch Experience with ATLAS Software Development Ability to model Argonne’s core values of impact, safety, respect
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) or equivalent experience in a computational science discipline, computer science, or in a related field Strong programming skills in one or more scientific programming language, such as C++ and Python Experience
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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, Python, R, Java, or other scientific programming languages. Experience working with life cycle assessment tools such as GREET®, OpenLCA, SimaPro®, GaBi®, or similar. Skilled oral and written communication
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, strong coding skills preferably in the Python programming language An understanding of atmospheric modeling Publication of results in scientific journals and dissemination of findings at meetings
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of urbanization on precipitation, and aerosol-cloud interactions Strong modeling skills and high-performance computing experience Experience with model code development, and strong programming skills (e.g., Fortran