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for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems
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The Industrial Technologies Group within the Energy Systems and Infrastructure Assessment (ESIA) Division at Argonne National Laboratory seeks a highly qualified Postdoctoral Appointee to conduct
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systems Excellent written and oral communication skills Experience with time-dependent density functional theory (TDDFT) and excited-state optimization, which is considered an asset Ability to model
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experience in C++ and/or python is required, along with the responsible use of AI-assisted coding tools. Strong skills in oral and written communications and presentations. A successful candidate must have the
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research in electrochemical processing and functional coatings. The primary goal of this work is aimed at advancing material design and surface modification for the electrodeposition of hard-to-deposit
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking a Postdoctoral Researcher to contribute to research in superconducting circuits, qubits, and quantum sensing
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engineered terahertz electromagnetic environments. The broader goal of this project is to establish a new solid-state terahertz circuit system that exploits coherent spin dynamics and light-matter interaction
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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Argonne National Laboratory in the Applied Materials Division (AMD) is seeking a Postdoctoral candidate to support development of advanced processes for critical materials recovery from
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Argonne National Laboratory in the Applied Materials Division (AMD) is seeking a Postdoctoral candidate to support development of advanced processes for critical materials recovery from