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Advancing battery intelligence using digital parameterisation of battery electrode microstructures Department of Materials Science and Engineering PhD Research Project Directly Funded UK Students Dr
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relationship between commuting, mobility and the battery industry. Particular attention will be paid to individual mobility with small and large vehicles. Requirements Additional Information Eligibility criteria
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engage to accelerate the future of electric mobility. As part of the EVC, the U-M Battery Lab works to create and maintain a state of the art, independent user facility with a flexibility of scale in
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a postdoctoral fellowship position on biopolymer-based materials for battery
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ligand discovery in silico for Li, Mn, Co and Ni recovery from spent lithium batteries. This will take advantage of experience in Nguyen group on using AI and Machine Learning for ligand discovery in
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for Research of Smart Batteries- CROSBAT” and is financially supported by the Villum Investigator– Smart Battery Project. The PhD student will be positioned in the“Section B- Power Electronics System Integration
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insertion materials, new Li reactivity mechanisms, the mastering of interfaces, and the exploration of other chemistries beyond Li-ion (such as Na-ion, solid state batteries…), as well as monitoring
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Applications are invited for a Research Assistant/Associate (Postdoctoral Researcher) in the Department of Engineering, to work on the development of new methods to structure Li-Ion battery
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applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international
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for recycling lithium-ion batteries through DOE’s ReCell Center for Advanced Battery Recycling. The researcher may also work with companies to research and validate unique lithium-ion battery recycling processes