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points in complex biological systems, uncovering stress-response fingerprints. Translate complex, multi-scale data into biological insight and contribute to a predictive, systems-level understanding
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learning. We are interested in privacy-preserving machine learning at a scale. Research group The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data
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wall composition, remodelling enzymes, and their regulation. Hands-on experience with biochemical characterisation of cell wall proteins, including enzymatic activity assays (e.g. methylesterase
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research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and
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learning. We are interested in privacy-preserving machine learning at a scale. Research group The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data