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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred: Familiarity with chemical diagnostic techniques and the safe handling of air-sensitive materials Proficiency in data
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The Physics Division at Argonne National Laboratory invites you to apply for a postdoctoral position beginning fall 2024 at Argonne’s Trace Radioisotope Analysis Center (TRACER). TRACER specializes
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deployment, monitoring, and optimization of complex scientific data streaming workflows for current and future production infrastructures. The project will involve close collaboration with a team of systems
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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equipped with world-leading full-field imaging instruments, including ultrahigh-speed imaging. The group also develops end-to-end scientific software, data analysis, and interpretation methods
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techniques to enable multimodal online monitoring of chemical and radiochemical separations processes Acquire fundamental data relevant to chemical separations in support of related modeling efforts Analyze
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are expected to expand on recently demonstrated ideas using ptychography, coded apertures and phase masks, that capture and encode phase information in the measurement. The successful candidate is expected
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source for EIC and the design of the ePIC Barrel Imaging Calorimeter. Argonne National Laboratory, situated near Chicago, is a prominent multidisciplinary science and engineering research center. We are
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research projects, data analysis, physics interpretations, and reporting of the results. A strong background in the field of Experimental Nuclear Physics. Ability to model Argonne’s core values of impact
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from 20 to 200 nm and temporal resolutions of less than 1 minute for 3D data acquisition. The PXM’s capability to operate at high X-ray energies (>20 keV) allows for enhanced penetration and reduced