68 universal-design-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Argonne
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listed below. Primary responsibilities include: Designing and simulating MEMS devices Testing and characterizing device performance Developing feedback and control strategies for precise MEMS operation
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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research in electrochemical processing and functional coatings. The primary goal of this work is aimed at advancing material design and surface modification for the electrodeposition of hard-to-deposit
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of process performance, with opportunities to collaborate with scientists, engineers, and external partners across national laboratory, university, and industrial settings. Key Responsibilities : Design
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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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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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-dimensional (2D) nanomaterials into structural and functional composites designed for next-generation energy technologies. The position combines fundamental materials synthesis, advanced characterization
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innovation. The postdoctoral researcher will design and conduct experiments, develop slurry-based processing methodologies, support construction and operation of bench-scale systems, analyze transport and
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will primarily involve organic synthesis lab work and analysis of new materials. Previous experience with electrochemical analysis or battery materials testing is a bonus. The candidate will design or
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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