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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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transformation of RIDE into a modular, interactive digital tool (integration with existing university systems, no programming required). Finish the ethical approval process. Phase 1 – Design Research (6 months
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Description: Apply Position Description Join Us! Do you want to conduct mathematical research that combines theoretical rigor with real-world applications, including climate and weather, the formation