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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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microelectronics project. To learn more: Argonne to lead two microelectronics research projects under U.S. Department of Energy initiative | Argonne National Laboratory Position Requirements Recent or soon-to-be
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
, Northwestern University, and Lawrence Berkeley National Laboratory to address grand challenge problems in materials for next-generation microelectronics applications. The position resides in the Theory
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Argonne’s Nanoscience and Technology Division seeks a postdoctoral scientist to advance transmission electron microscopy (TEM) studies of materials and interfaces relevant to microelectronics
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Post Doctoral Researcher for its Nanoelectronics and Microelectronics program. Candidates with a strong background in materials, semiconductor physics, and devices, especially with relevant material
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based microsystems in a multi-year effort. A researcher in this position will be responsible for designing, assembling and commissioning a modular testbed facility to characterize both transient and
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other applications of microfabricated circuits, transducers and systems. The group [https://www.nist.gov/pml/microsystems-and-nanotechnology-division/photonics-and-optomechanics-group ] offers a highly
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. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
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their applications. Experience in handling cells (mammalian cells, microorganisms) in microsystems. Experience in performing original research and publishing high-quality research papers. Experience in
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of radiofrequency (MHz–GHz) nanoscale phenomena in systems relevant to microelectronics and quantum information science. Opportunities also exist for cross-platform studies integrating ultrafast TEM with ultrafast x