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is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and systems. Generally speaking, thermal runaway is a chain reaction
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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