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the Argonne energy storage ecosystem, working closely with the Argonne Collaborative Center for Energy Storage Science (ACCESS). Continue a world-class research program related to energy storage and
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for next-generation information processing, microelectronics, wireless communication, and quantum information science. Key Responsibilities: Develop terahertz coplanar resonators, including design
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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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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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Argonne National Laboratory has a long-standing tradition of attracting top early career talent through the Named Fellowship Program. These prestigious fellowships are awarded internationally each
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optoelectronics. The successful candidate will build and lead an innovative research program in microelectronics by leveraging CNM’s unique strengths in materials synthesis, device fabrication, and characterization
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to a collaborative, multidisciplinary research program focused on the chemical recycling of polymers and organometallic catalysis. You will work alongside scientists with diverse expertise to design
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The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data
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, postdocs, and students. May be required to perform other duties as assigned. Position Requirements Ph.D. in Physics, Accelerator Science, Electrical/Computer Engineering, or a closely related field and 4
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In the Computational Materials Group, we focus on the development and use of computational and theoretical methods to understand and predict the behavior of solids, liquids, and nanostructures from