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in real-world environments. Position Description: In this position, you will lead research a project creating millimeter-wave superconducting devices using transition metal silicide materials, under
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materials and their unique physical phenomena, such as metal-insulator transitions, charge-spin-lattice correlations, and the critical role of defects and interfaces. Utilizing state-of-the-art electron
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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the operation, software, and computing of the ATLAS experiment. Required Knowledge, Skills, and Abilities: Ph.D. in experimental particle or nuclear physics or related field. Experience with data analysis and
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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nuclear and particle-physics experiments Experience with data analysis and knowledge of statistical techniques for data analysis Experience with computing and software for high-energy or nuclear physics
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will collaborate closely with NSLS-II staff while developing cutting edge sample preparation and data analysis techniques that enable the next generation of the XCFS methodology. In addition
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radiation-induced reaction kinetics and mechanisms, including pulse radiolysis experiments on ACER’s accelerator facilities. Data analysis (e.g., fitting transient absorption data, making plots of spectra
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. Essential Duties and Responsibilities: Planning experiments, preparing samples, and conducting experiments at LEAF. Data analysis (e.g. fitting transient absorption data, making plots of spectra). Writing
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proposals for ongoing research program Required Knowledge, Skills, and Abilities: Ph.D. in physics or related discipline within the last 5 years Strong background in condensed matter physics Data analysis