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Develop and apply operando diagnostic tools for aqueous battery research Design, perform, and analyze electrochemical and materials characterization experiments Use imaging and sensing techniques, including
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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operating experimental systems for separation processes; conducting laboratory-scale studies involving radiotracers and actinide/lanthanide separations; supporting the development and optimization of aqueous
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The Chemical and Fuel Cycle Technologies Division is seeking a Postdoctoral Appointee to conduct research in chemical process engineering, separations, and process intensification for recovery
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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to substantially advance this new qubit platform by realizing high-fidelity two-qubit gates. The postdoc will design single electron qubit devices, fabricate them in CNM cleanroom, and characterize them in CNM
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photonic quantum devices for a heterogeneous quantum network, including but not limited to superconducting qubits, microwave-optical quantum transducers, etc. The postdocs will design the devices, fabricate
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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or image processing Experience with AI-assisted or feedback-driven fabrication workflows Interest in quantum photonic platforms, electro-optic systems, or light–matter coupling physics Application Materials