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projects with faculty, students, and industrial partners. The scope of the position is intentionally broad and may include (but is not limited to): Machine learning for molecular and reaction property
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applications for the position of Research Scientist in Data Science & Machine Learning to support the Wicked Problems (WiP) framework within our undergraduate program. The successful candidate will bring deep
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artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
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systems. Interest in hybrid modeling (e.g., combining physics-based models with machine learning). Experience co-developing tools or interactive content for STEM education. Cross-Domain Application Areas
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Scientist in Cyber-Physical Systems and Digital Twins to lead technology-driven projects within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts