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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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focus on our scientific program with CLAS12 (including the ALERT), Hall C and PRad-II at Jefferson Lab, and/or development of the EIC scientific program, including the development of a polarized light ion
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looking for candidates whose research program aligns with the 2023 Long Range Plan for Nuclear Physics, focusing on lab-based tests of fundamental symmetries via precision experiments. The ideal candidate
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) Demonstrated knowledge of and experience in general analytical methods and practices Experience in programming for data analysis Excellent oral and written communication skills Demonstrated creative and
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and no-carbon fuels for hard-to-electrify industrial equipment such as burners, furnaces, combined heat and power, etc., applications. The goal is to establish a world-class research program leveraging
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(electrochemistry, materials synthesis, or characterization) or computational simulations perspective, is required. Proficiency in Python programming is required. Familiarity with REST APIs is desirable. Master’s
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Quantum Theme, focusing on Next-Generation Quantum Systems. The successful candidate will lead efforts to discover and design quantum emitters with desirable properties for quantum information science (QIS
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scholarly work or industry experience in economic and supply chain analysis, computational modeling, or policy analysis. Excellent oral and written communication skills in scientific and engineering contexts
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collaborate with biogeochemists and computational scientists to analyze physicochemical and microbial measurements of soils and evaluate plant physiological data to enhance representations of wetland carbon
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electrolyzer materials and electrodes using synchrotron X-ray techniques at Argonne’s Advanced Photon Source (APS). In particular X-ray absorption spectroscopy, X-ray scattering, and nano-computed tomography