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chemistry and life cycle thinking in early decision-making. AI-based methods and hybrid models, which integrate data-driven and mechanistic modelling, hold significant potential to enhance prospective
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will apply tools and models from fields such as economics, computer science, engineering, and public policy to address theoretical and empirical questions around data valuation, data privacy, data
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environment, for improved monitoring and realizing high product quality. From the drawbacks residing in classical physics-based models and data-driven models we want to develop hybrid transformer models
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine