12 master-"https:"-"https:"-"Robert-Gordon-University" Postdoctoral positions at Argonne
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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. The successful candidate will leverage fabrication capabilities available in the Center for Nanoscale Materials (CNM) to tailor the high-pressure sample environment in diamond anvil cells. To this end, two main
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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The primary focus
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, leaching, and separation technologies as well as pilot plant equipment installation and operation. The main research focus will be on valorizing waste products from coal mining or production, including coal
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) of electrochemical energy storage devices (diagnosis) and predict the SOH into the future (prognosis). The primary projects this postdoc will contribute to relate to lithium-ion batteries, advanced lead-acid batteries
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foundation model methodologies, with federated learning serving as a key enabling research direction. The postdoctoral researcher will be advised by the principal investigator, while being expected to exercise
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simulation, and applications of nuclear science. A primary mission of PHY is to operate the Argonne Tandem Linac Accelerator System (ATLAS) as a national user facility for low-energy nuclear physics. Position
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reducing operating costs for future linac-based accelerator facilities. Under a newly approved project, we will redesign the original ADS driver linac to leverage Nb₃Sn SRF technology. Key responsibilities
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. The primary focus of this role will be in developing laboratory methods to improve recovery of microbial genomes from complex samples. Secondary focus of this role will be in maintaining cultures
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candidate will participate in RNA project for structural characterization of RNA by SAXS, x-ray crystallography, and Cryo-EM. The main role for the project is to produce RNA samples in large scale by using in