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of experimental quantum communication hardware development, optical memory qubit characterization, and fiber-based networking demonstrations using novel memory qubits. The goal is to employ the natural telecom
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The Applied Materials Division (AMD) at Argonne National Laboratory is looking to hire a Postdoctoral Appointee – Materials Science. The Applied Materials Division conducts applied research
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recommendation letters to be sent directly to Kaitlin Monis at PHYHR@anl.gov, and confirm that your referees have submitted their letters. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type
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The Theory Group in the Physics Division at Argonne National Laboratory is now seeking candidates for postdoctoral positions in nuclear theory, to begin as early as Spring 2026. The positions
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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
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of spin qubits in semiconductor devices, with advanced x-ray characterization and spin measurements of such devices. These systems include SiC spin defects and Si/SiGe quantum dots. A successful candidate
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. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments. Experiments with Argonne involvement include, but are not
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recommendation letters to be sent directly to Kaitlin Raimondi at PHYHR@anl.gov, and confirm that your referees have submitted their letters. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type