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solvent extraction, membranes, and adsorption, for recycling and purification of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish
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September 1, 2026, or as mutually agreed and subject to completion of the University hiring process. Position Duties 80% Research Develop analytical, computational, and reduced-order models for problems in
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This position will be dedicated to research projects aiming developing and implementing experimental focused application of AI and automation tools for unraveling fundamental interfacial processes
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, aerial robotics, robotic manipulation, optimal control, robot learning, or human-robot interaction. Experience with developing planning, control, or coordination algorithms for robotic systems, preferably
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and/or scholarly manuscripts, throughout the research process. Required Qualifications The postdoctoral Research Associate is required to have a Ph.D. in Electrical Engineering or a related field. The
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
experiments, optimize protocols, document procedures and results, collate and analyze data, and communicate results and conclusions in written and oral formats. They will have the opportunity to train and
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on the design and fabrication of SOI-based photonic devices using standard lithographic techniques compatible with CMOS-processing. This happens in collaboration with imec. The Photonics Research Group
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-processing. This happens in collaboration with imec. The Photonics Research Group has been coordinating the network of excellence ePIXnet and is involved in several EU-projects, including Horizon Europe, CHIPS
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. In particular, the interplay between surface properties, wafer morphology, and the resulting bonding performance is still largely optimized empirically. In this postdoctoral project, you will develop