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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
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) for precision cancer therapy. Developing reactive force fields (ReaxFF) for describing next-generation energy materials. Investigating the solid electrolyte interphase (SEI) for high-efficiency Li metal batteries
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will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic
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careers in private companies. The research field to be recruited: One position is available in each of the 9 fields specified below. R25-03 Battery Materials and Characterization R25-04 Magnetic