18 master-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Argonne in United States
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statement outlining proposed research directions RD3: Bachelors and 8+ years of experience, Masters and 5+ years, PhD and 4+ years, or equivalent The expected hiring range for this position is $116,250
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primary goal of this work is aimed at advancing next-generation, lithium-ion technology through a detailed understanding and mitigation of surface degradation mechanisms that limit state-of-the-art lithium
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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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, co-simulation, or hardware-relevant environments. Primary Responsibilities: Develop machine learning and AI methods for control, optimization, and cyber-resilient operation of distribution systems, DER
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operations Develop, lead, and execute innovative R&D programs in electron and X-ray microscopy that achieve international recognition and align with CNM and Argonne strategic priorities Conduct original
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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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precision experiments and fundamental symmetry tests using cold or ultra-cold atoms or molecules RD2: Bachelors and 5+ years, Masters and 3+ years, or a PhD, or equivalent Job Family Research Development (RD
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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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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