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. This exciting project focuses on further development of beam position monitoring structures and high gradient testing of components. They will play a key role in designing, fabricating, and testing advanced
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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and techniques to synthesize these new materials. The candidate needs to be familiar with electrochemical testing and evaluating these materials. Position Requirements Recent or soon-to-be-completed PhD
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. Advanced materials design and characterization will be pursued through various strategies. The candidate should have extensive experience in fabricating and testing prototype batteries, glove box operation
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from visible to telecom wavelengths Implement and test scalable readout architectures for nanowire arrays, including multiplexing concepts based on superconducting cryogenic switches (hTron, fTron
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, you will: Apply engineering principles to develop molten salt synthesis and separations processes to support fuel cycle science and technology. Develop and test new electrodes for use in molten salt
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photonic platforms for hybrid quantum systems. The role offers a unique opportunity to engage in advanced materials synthesis, nanofabrication, and multimodal characterization using Argonne’s world-class
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early “pathfinder” experiments that establish performance and scientific impact. This role combines end-to-end instrumentation leadership (requirements, design maturation, interfaces, test/acceptance
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and contributing to reusable research software when appropriate. Position Requirements Required skills, experience and qualifications: PhD in computer science, applied mathematics, electrical
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python