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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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, and predict their impact on species-specific properties of human neurons. This highly multidisciplinary project will be undertaken in active collaboration with our two labs, at a unique interface of top
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of the TOBI team is to enhance precision cancer management by developing innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof. Katleen De Preter is the principal
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to the success of this project: 1) Development and implementation of physics-based continuum models to predict the cycle life of cathode and anode materials.2) Training of a Large Language Model (LLM) that acts as