59 operations-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational
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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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skills Demonstrated ability to work effectively in a collaborative, interdisciplinary research environment Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork
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-grade algorithms. Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. Excellent communication skills and a strong interest in interdisciplinary
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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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in the cleanroom at the Center for Nanoscale Materials. The candidate will work in a collaborative environment including a network of leading researchers. Position Requirements Recent or soon-to-be
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore
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lithography, dry/wet etching, and metallization Collaborate within a multidisciplinary team across CNM, MSD, APS, Q-NEXT to characterize device performance across structural, optical, electro-optic, and