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development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets
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(e.g., pump–probe methods). Experience with synchrotron X-ray experiments. Experience with instrumentation development. Excellent oral and written communication skills. Demonstrated ability to work
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an exciting approach to agentic, fully autonomous thin film development using a combination of automated electroplating, in-operando measurements, and AI driven algorithms. He or she will work with a team of
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. The ANL ATLAS group maintains strong involvement across the experiment, including detector operations, TDAQ upgrades, Software and Computing, ML development, and High-Performance Computing (HPC
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
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Microscopy (LTEM) studies of magnetic heterostructures. We are interested in using real space imaging techniques to understand the evolution of energy landscapes that lead to emergent domain behavior in
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demonstrated expertise in detector design, instrumentation development, construction, commissioning, operation, and data analysis. Interested applicants should submit the following : Curriculum vitae Cover
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-generation nuclear science experiments at Jefferson Lab and the Electron-Ion Collider (EIC). As part of our growing multidisciplinary team, you will contribute to the development of superconducting nanowire
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed
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programs, e.g., through Laboratory Directed Research and Development (LDRD) funding, or through external Funding Opportunity Announcements (FOAs) from the DOE Office of Nuclear Physics. Application Process