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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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. Qualifications: Doctorate degree in Material Science and Engineering and in Engineering and Public policy or the equivalent. Experience in modeling battery lifetime and production operations for managing EV
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning