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human genetics and the biological interpretation of complex traits. You should have experience with genetic data analysis, statistical genetics, and be motivated to understand how AI-based models can be
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Time Series Analysis Graphical models Computational statistics We welcome applications from candidates with an educational background in fields such as: Mathematical Statistics Machine Learning
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safer, more reliable, and more sustainable renewable energy systems. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods
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, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery, enjoy tackling complex multi-physics problems, and have the drive to explore innovative concepts
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available as preprints: https://www.biorxiv.org/content/10.1101/2025.11.06.686939v1 and https://www.biorxiv.org/content/10.64898/2025.12.08.691990v1 We use a wide range of experimental approaches including