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medical data. Collaborating with fellow researchers to develop foundations for a generic paradigm for assumption-lean causal/statistical modeling. Writing high quality publications, targeting top journals
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-based, narrative, computational and synthetic media. Through design driven research, the project aims to develop speculative architectural design propositions that engage with the postdigital condition
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Dept. ESAT of KU Leuven (Belgium) in the frame of the AI initiative of the Flemish Government. The goal of this research is to develop new machine learning methods for data-driven selection and
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the variety of disciplines needed to study consumer energy flexibility and will train participants in research and transferable skills to progress and deliver state of the art research in their fields