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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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fluxes in terrestrial wetlands. In this role you can expect to: Conduct studies to measure and partition wetland fluxes of greenhouse gases (GHG) at a site located in the Prairie Pothole region
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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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We invite applications for up to two (2) Postdoctoral research positions in experimental hadronic physics at Argonne National Laboratory. You will be part of our team working on physics and
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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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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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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performs world-leading research in nuclear structure, nuclear astrophysics, fundamental symmetries, and nuclear data. The Group also manages and operates world-class detector systems as part of the ATLAS
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cosmology, and simulations. Analysis efforts cover topics such as CMB power spectra, CMB lensing, galaxy clustering, redshift-space distortions, and weak and strong gravitational lensing. The observational
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postdoctoral appointee will use a combination of synchrotron X-ray surface scattering and imaging approaches. The work also involves the interpretation of experimental data and the presentation of results