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, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization
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Directed Research and Development (LDRD) project. This research focuses on understanding how critical elements are distributed at mineral-water interfaces, with the goal of revealing the fundamental chemical
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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, electromagnetic interference shielding, and harsh environments. As part of the Materials Engineering Research Facilities (MERF) and the Argonne MXene Innovations (AMI) program, the Nanocomposite Materials and
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. The candidate will assume a primary role in spearheading the development of a comprehensive growth, synthesis, and innovative characterization experimental program specifically tailored to diamond
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Argonne National Laboratory, in the Applied Materials Division, has an immediate opening for a postdoctoral appointee. The candidate will develop physics-based models to predict the structure and performance of materials under extreme conditions. The candidate will work with a...
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information science Experience with AI-assisted measurements/experiments Application Materials Please upload the following materials as part of your application via Workday: CV/Resume Unofficial Ph.D. transcripts
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nitrogen-vacancy (NV) diamond quantum magnetometry for high-energy physics experiments. The HEP Division performs cutting-edge research leveraging advanced detector development, high-performance computing
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Position Overview We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS