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the scientific discovery process by quickly extracting useful information from vast quantiles of data, and by providing feedback to the experiment system enabling autonomous control and steering. New fast data
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experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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group. The term of the positions is typically two years, with the possibility to renew for the 3rd year, contingent on the project process and availability of funds. Recent publication most related
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing electrochemical reactions and processes in molten salt electrolytes
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national security. With guidance, the appointee will: Develop and implement processes for chemical separations for nuclear-energy relevant and other industrial chemical applications Develop tools and
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diffraction and spectroscopy, for in situ studies of materials and interfacial chemistry during battery operation Strong foundation in electrochemistry, with the ability to perform cyclic voltammetry
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to innovative measurement techniques and novel technologies, like superconducting nanowire detectors and pixelized 3D-printed MCP-PMTs, capitalizing on Argonne's multidisciplinary expertise. Application Process
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ecosystem science, wetland ecology, terrestrial biogeochemistry, soil science, ecohydrology, or a related field Knowledge of wetland ecosystem science, including hydrological and biotic factors and processes
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during the application process. Any further questions regarding this position should be addressed to Dr. Peter Mueller (pmueller@anl.gov ). Review of applicants is ongoing and will continue until