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expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based
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that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities
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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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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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Leadership Computing Facility (ALCF), the Mathematics and Computer Science Division (MCS), the Computational Science Division (CPS), and the Data Science and Learning Division (DSL). The postdoctoral
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, Safety, Health, and Quality Assurance standards and policies Process and interpret experimental data; prepare manuscripts for peer-reviewed publications Present research findings at scientific conferences
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time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be
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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
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information on the research activities in the Physics Division can be found at https://www.anl.gov/phy. Position Requirements Ph.D. in experimental nuclear, atomic physics, nuclear or analytical chemistry, or