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characterization of complex materials and multi-component solutions. Practical knowledge of structural and spectroscopic techniques for material and solution analysis (FTIR, XRD, SEM/EDS, ICP, HPLC). Insight
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to electrochemical systems, with the ability to apply insights from related research areas to solve battery materials challenges. Strong oral and written communication skills. Ability to model UM6P’s core values of
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(LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights
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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project