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candidate will lead efforts in materials synthesis, in situ/operando characterization, and catalytic performance evaluation. This role offers a unique opportunity to leverage CNM’s advanced characterization
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. The postdoctoral researcher will work closely with scientists at the Materials Science Division and the Advanced Photon Source (APS) as well as collaborate with external partners to exploit state-of-the-art
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hardware. Extensive experimental experience is essential. The scientist will join a DOE funded project that explores the use of AI and autonomous techniques for materials discovery. The project involves
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. Working within the Center for Nanoscale Materials (CNM), the successful candidate will leverage state-of-the-art functional and dynamic TEM capabilities to lead experimental research on defect species
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The Materials Science Division at Argonne National Laboratory seeks to make a postdoctoral appointment for research in the area of thin films of quantum materials for microelectronics. The work will
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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are for two years, with the possibility of one additional year contingent upon funding and performance. Applications received by 28 November 2025 will receive our fullest consideration. The Theory Group has
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operando characterization using the Advanced Photon Source (APS). This work will support critical material recovery and battery recycling initiatives. The successful candidate will help drive next-generation
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for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply
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engineering principles Experience working safely with hazardous materials using engineering controls such as gloveboxes is desired. Knowledge of the use of computers to design and control experiments and to