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Argonne National Laboratory’s Accelerator Science Division is seeking a Postdoctoral Appointee to contribute to the development of a Sub- THz Collinear Structural Wakefield Accelerator
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral researcher position in the field of hybrid quantum computing. This exciting project focuses on developing a cutting-edge hybrid quantum computing platform that integrates entangled...
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We are seeking a highly motivated postdoctoral researcher to join the Center for Nanoscale Materials (CNM) at Argonne National Laboratory. The successful candidate will contribute to the development
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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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on developing machine-learning surrogates for electronic structure and electrostatic potential and using these models to predict structural and electronic evolution under applied bias. Methods may include density
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, advanced computational techniques, and data science. The project involves: Materials Development Platform that will enable redox molecule optimization via predictive simulations, database management, and AI
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We are seeking a highly motivated and adaptable postdoctoral researcher to join the Laboratory Directed Research and Development (LDRD) project FREEZE (Fundamental Research on Energy-Efficient Zonal
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; present findings internally and at external conferences; contribute to publications Collaboration Environment Work in close coordination with ML development teams across Argonne (including the Advanced
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Roman Space Telescope in the Cosmic Frontier. The Division is also engaged in physics preparations for the Electron-Ion Collider (EIC), the development of advanced accelerator technologies (such as the
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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