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of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the Python programming
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The Interfacial Processes Group in the Chemical Sciences and Engineering (CSE) Division at Argonne National Laboratory is seeking a highly motivated Postdoctoral Researcher to join a Laboratory
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) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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(HPC), and world-class engineering support. Concurrently, MSD and Q-NEXT drive state-of-the-art quantum initiatives focused on fundamental and applied quantum information science, highlighted by recent
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will : Apply electrochemical engineering principles to develop processes such as oxide reduction
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fabrication facilities Access to the Center for Nanoscale Materials (CNM) Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics, electrical engineering, materials
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years) in physics, electrical engineering, materials science, or a related discipline Demonstrated experience with superconducting devices or similar quantum/low-temperature technologies, particularly
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it in Physics with a focus on accelerator physics, or Electrical Engineering with a focus on RF/Accelerator Physics Strong background in accelerator physics and beam diagnostics. Excellent problem
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physics, engineering, or a closely related field Experience in experimental physics/engineering, nanofabrication, quantum information science, and/or microwave and superconducting device characterization