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? As a PhD candidate in the ERC project FoRECAST, you’ll work independently and in a collaborative, diverse team. This is a unique opportunity to contribute to the foundations for tomorrow’s machine
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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to investigate the human immune response. Our lab researches the repertoires of antibodies circulating in our body, aiming to identify antibodies of interests that target microbial antigens and/or represent auto
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creation that controls clogging patterns Developing predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated