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lead to emergent group behaviors, we develop modern tools such as tracking systems, biomimetic robots and interpretable machine learning models. In a new research project with our partner Bayer Crop
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macromolecular dynamics with statistical mechanics, molecular simulation at different resolutions, machine learning, and experimental data. Our group works on the definition and implementation of strategies
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• Experience with machine learning frameworks (e. g. TensorFlow, PyTorch) and Explainable AI (XAI) • Experience with machine learning and/or AI-based methods for data analysis • Experience in processing and
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Dust Analyser onboard the Cassini space probe - Collaboration with a computer scientist who is developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra
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macromolecular dynamics with machine learning and experimental data, integrative structural biology, and membrane protein modeling. Our group works on the definition and implementation of strategies to study
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open