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Field
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to detector/system modeling and optimization for count rate, resolution, and throughput. Document methods and develop user-facing procedures and best practices for reliable operation during user runs
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: The scholar will lead research projects linked to detecting large-scale ocean biogeochemical changes using a combination of remote sensing, modeling and in situ observations. Specifically, the postdoc will use
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stakeholders Design and implement evaluations of innovative programs Data analyses and modeling using Python/R/or similar programming languages Co-author research papers on the results of student learning
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, x-ray generator and detector. -Experience with GEANT4 or similar Monte Carlo modeling toolkit. Experience with implementing computational neural network (CNN) architecture. Experience in image
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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thematic analyses, and apply appropriate models (e.g., regression, ANOVA) to explore outcomes and associations. Digital Health & Informatics: Leverage data from EHRs, patient portals, mobile health apps, and
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bring strong expertise in in vivo animal models, confocal microscopy, IVIS imaging, cell culture systems, organoids, tissue slice preparations, and cutting-edge biochemical and molecular techniques. Key
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matter physics * Strong experience in out-of-equilibrium physics and techniques in condensed matter physics. * Experience with computational and theoretical simulation and modeling techniques in