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The Argonne team is seeking two highly motivated postdoctoral researchers to help shape the next generation of secure, scalable, and continuously learning AI systems for biomedical discovery
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operating experimental systems for separation processes; conducting laboratory-scale studies involving radiotracers and actinide/lanthanide separations; supporting the development and optimization of aqueous
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee to conduct research in chemical process engineering, separations, and process intensification for recovery
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structures Hands-on experience with signal processing and RF test instrumentation Strong written and verbal communication skills, with the ability to work effectively in a multidisciplinary team environment
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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physics), device synthesis, and quantum materials (including optics, photonics, spectroscopy, and optically active point defects). Also, familiarity with nanofabrication (optical and e-beam lithography
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thin film deposition is preferred. Advanced image processing and analysis skills. Experience with micromagnetic simulation is preferred. Ability to work independently as well as in collaboration with a
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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Argonne National Laboratory in the Applied Materials Division (AMD) is seeking a Postdoctoral candidate to support development of advanced processes for critical materials recovery from
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Argonne National Laboratory in the Applied Materials Division (AMD) is seeking a Postdoctoral candidate to support development of advanced processes for critical materials recovery from