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2019, the U.S. Department of Energy (DOE) approved the EIC project by issuing Critical Decision 0 (CD-0), or “mission need,” and selected Brookhaven National Laboratory (BNL) as the host site
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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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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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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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advanced computational techniques. Application of strong analytical and critical thinking skills and problem-solving efforts to formulate high-quality research ideas and directions in collaboration with
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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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strong knowledge of superconductivity and quantum information science; You have performed low temperature electrical transport measurements and data analysis. You work effectively in a collaborative team
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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