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(within the last 0-5 years) in field experimental physics, engineering, or a closely related field Excellent written and verbal communication skills Demonstrated ability to work effectively in a
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of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the Python programming
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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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). Position Requirements Ph.D. in electrical engineering, mechanical engineering, physics, or a related field completed within the past five years or soon-to-be completed Experience in X-ray scattering is
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, presentations, software, datasets, and internal reports Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemistry, chemical engineering, materials science, polymer science
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) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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conditions to fabricate membrane components with desired physics and ionic transport properties. As part of the Materials Engineering Research Facilities (MERF), the Nanocomposite Materials and Membrane
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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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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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