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fluorescence tomography at beamline 2-ID-E and 2-ID-D with focus on bioimaging of soil aggregates, as well as computational framework for modeling and reconstruction of related 3D datasets. The successful
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, surrogate modeling, clustering, anomaly detection, or probabilistic modeling. Proficiency in Python/Julia/R and scientific computing/data analysis tools and related libraries. Experience working with large
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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. Skills in installing, modifying and maintaining equipment. Willingness to abide by safety rules. Ability to work with large volumes of hazardous chemicals. Ability to change projects and work on a variety
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cryogenic environments Participate in synchrotron-based characterization and data analysis Contribute to high-impact publications, internal reports, and scientific presentations at conferences and workshops
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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(NUCLEI); and two Topical Collaborations: 1) 3D quark-gluon structure of hadrons: mass, spin, and tomography, and 2) Nuclear Theory for New Physics. Further information on our group and its research
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reaction behavior, taking detailed observations, gathering and analyzing data and contributing to technical reports, publications, presentations, and future proposals. Position Requirements Recent or soon-to
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in