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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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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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and synchrotron radiation, with the goal of informing component design, shielding, and electronics protection strategies. The successful candidate will work closely with the beam optics, lattice, and
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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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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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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate
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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