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source for EIC and the design of the ePIC Barrel Imaging Calorimeter. Argonne National Laboratory, situated near Chicago, is a prominent multidisciplinary science and engineering research center. We are
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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exploration of time-resolved imaging of material behavior using advanced ultrafast electron microscopy techniques. The in-situ experiments will be driven by external electric fields and relevant optical stimuli
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inverter-based resources for performing real-time simulations in Opal-RT. Develop and prototype advanced control algorithms for grid forming and grid following inverters. Develop and demonstrate
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closely with senior members of the research group. The term of the positions is typically two years, with the possibility to renew for the 3rd year, contingent on the project process and availability
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The Chemical and Fuel Cycle Technologies division at Argonne is seeking a Postdoctoral Appointee to join a multidisciplinary team developing molten salt-based chemical and electrochemical processes
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Lemont, Illinois. Preferred Qualifications: Solid knowledge and independent research capability in stochastic process, machine learning and data analytics with track records of publications. Job Family
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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nanobeam imaging. The successful candidate should be highly motivated for research excellence and have a strong track record in problem solving and scientific publicaitons. The candidate will be expected
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prototype, benchmark, and evaluate strategies to better support these workloads for Aurora. Position Requirements Required skills and qualifications: A recent PhD (within 5 years) in computer science