87 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" positions at Argonne
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. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments. Experiments with Argonne involvement include, but are not
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primary goal of this work is aimed at advancing next-generation, lithium-ion technology through a detailed understanding and mitigation of surface degradation mechanisms that limit state-of-the-art lithium
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condensed matter physics, materials science, electrical engineering, quantum science, or a related field Experience in characterization of materials for quantum information Experience in cryogenic quantum
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contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
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(CO2) conversion processes and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will contribute
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enzyme engineering workflows on their respective leadership computing platforms. Key Responsibilities: Design and implement generative AI models and agentic systems capable of scientific reasoning and
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-completed PhD (typically completed within the last 0-5 years) in chemical engineering, environmental engineering, or similar degree. Experience with data collection, processing, analysis, and presentation
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Argonne National Laboratory invites applications for postdoctoral research positions in experimental physics, with a focus on advancing superconducting particle detector technology for next
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, distributed systems, or large-scale data pipelines Experience with game engines, XR systems, or advanced graphics frameworks applied to scientific data Record of publications in visualization, AI
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, especially surface holography, and their application to elucidate the spatiotemporal structure of nanostructures at surfaces and interfaces. The coherence-based probes will align with the capabilities promised