3 bayesian-updating Postdoctoral positions at Technical University of Denmark in Denmark
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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studies, surveys); Maintain current models and update them according to the new state of the art large LLMs; Analyze data and transform it into accessible visualizations and knowledge. As part of your
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on research activities with team members and external partners Stay updated with relevant literature and methodologies, maintain and share accurate records of findings with the team Present findings to the team
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