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working safely with hazardous materials in engineering controls such as gloveboxes or hoods is desired, but not mandatory. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and
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The Energy Systems and Infrastructure Assessment Division at Argonne National Laboratory is seeking a highly motivated Postdoctoral Appointee to support research on AI-enabled monitoring, control
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computational scientists, economists, engineers, and other researchers to develop data-driven, decision-relevant analytical tools for complex industrial systems. Key Responsibilities: Develop, improve, and apply
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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engineering, controls and data systems, and internal and external scientific partners. Essential Duties and Responsibilities: Lead preparation of a review-ready engineering specifications document
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific
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engineering controls such as gloveboxes or hoods is desired, but not mandatory. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Other: To perform the essential
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced