76 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Argonne
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backgrounds such as engineering, computer science, statistics, and economics. Familiarity with energy technologies and associated supply chain risk and challenges. Familiarity with the application of statistics
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The Nanoscience and Technology Division and the Center for Nanoscale Materials (CNM) at Argonne National Laboratory invite applications for a Postdoctoral Researcher or Argonne Associate position
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer
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The Chemical Sciences and Engineering Division seeks a Postdoctoral Appointee to conduct research focused on the development of high-energy, long-cycle-life lithium–sulfur batteries employing both
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in experimental physics and superconducting device development, with a focus on advancing multipixel single-photon camera technology and multiplexed readout for quantum information science applications
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extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related
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from various scientific backgrounds (Physics, Chemistry, Materials Science, Geoscience, and Engineering, etc.) will be considered. Recent or soon-to-be completed PhD (within the last 0-5 years) in
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computational scientists, economists, engineers, and other researchers to develop data-driven, decision-relevant analytical tools for complex industrial systems. Key Responsibilities: Develop, improve, and apply
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staff members, two engineers, and postdocs and students. Our program spans electron-scattering experiments at Jefferson Lab in Hall A, B, and C, including CLAS12 and SoLID. We have led SeaQuest and are
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fluorescence tomography at beamline 2-ID-E and 2-ID-D with focus on bioimaging of soil aggregates, as well as computational framework for modeling and reconstruction of related 3D datasets. The successful