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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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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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Research & Development to help develop processes to enhance electrolysis processes through electrolyte development, including physico-chemical property determination of candidate systems. Perform technical
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opportunity for an early-career researcher to contribute to cutting-edge energy storage research focused on developing advanced diagnostic tools for aqueous battery systems. In this role, you will help develop
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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The Argonne team is seeking two highly motivated postdoctoral researchers to help shape the next generation of secure, scalable, and continuously learning AI systems for biomedical discovery
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or more of the following areas will help candidates succeed in this role: Critical elements and materials Electrical double layer theory and applications Solid-liquid phase transitions and energetics
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National Laboratory, universities, and industrial partners. Assist in the preparation of research proposals, project reports, intellectual property disclosures, and patent applications. Maintain a safe
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of hydrometallurgical processes such as leaching, solvent (liquid-liquid) extraction, and adsorption; evaluating process performance and operability; developing test plans and standard operating procedures; assisting
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accelerator structures, as well as conducting beam-based experiments. Key Responsibilities: Assist in the design and testing of beam diagnostic device operating at mmWave frequencies. Assist in conducting beam