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research student.About the project and ScholarshipsThe rapid adoption of lithium-ion batteries (LIB) in electric vehicles and energy storage globally is generating a significant volume of waste end-of-life
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battery systems or distributed energy resources. This will include benchmarking data models, and deploying and testing these techniques in real-world, large-scale deployments. Contributing to setting
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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato
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histological, molecular biological, and bio-informatical analysis. Perform a battery of memory-related behavior tasks. Present research project in scientific meetings. Write manuscripts. FLSA Nonexempt Grade 99H