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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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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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areas is preferred and will help the candidate succeed: X-ray absorption spectroscopy theory and modelling, and handling large synchrotron/X-ray datasets. Experience with vector databases (e.g. Pinecone
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Knowledge, Skills, and Experience: Proficiency in mathematical analysis and operator theory. Experience working with microelectronics. Experience in conducting synchrotron experiments and analyzing
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knowledge of contemporary high-energy physics and mathematical methods relevant to physics applications Effective verbal and written communication skills Ability to model Argonne’s core values of impact
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The Applied Materials Division (AMD) at Argonne National Laboratory is seeking to hire a postdoctoral appointeee in the Separations and Bioprocessing group. This position will have two focus areas. One is to support an effort to recycle graphite from Li-ion batteries to produce graphene and...
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approaches. Position Requirements Recent or soon-to-be-completed (typically completed within the last 0-5 years) Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a
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Argonne National Laboratory is seeking a highly skilled Postdoctoral Researcher to work in the Separations and Bioprocessing Group on developing, designing and characterizing new polymers and membranes for gas and liquid separations. The ideal candidate will have expertise in polymer synthesis...
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in multidisciplinary teams. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Preferred Knowledge, Skills, and Experience Background in economic theories and
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environmental trade-offs. Contribute to projects involving capacity expansion, production cost modeling, and equilibrium modeling of power systems. Design and apply mathematical optimization models, including