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may include work at Jefferson Lab, the Electron-Ion Collider (EIC) program, detector research and development, and applications of AI in nuclear physics. Applications received by Tuesday, November 4
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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diffraction, electron microscopy (SEM and TEM), spectroscopy (FTIR and Raman), and electrochemical (EIS and battery cycler). Publication record with excellent written and oral communication skills. Ability
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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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and electrocatalysis, including: catalyst design mechanistic studies microkinetic modeling reactor modeling Strong computational expertise in applying quantum mechanical methods to determine electronic
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(KIDs) Experience with cleanroom microfabrication processes, including thin-film deposition (e.g., magnetron sputtering), electron-beam or optical lithography, and dry/wet etching Familiarity with
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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activities can be found at www.anl.gov/phy/theory . Interested applicants should complete the following three steps: 1. Complete the application herein. 2. Email a curriculum vitae and a one-page statement of