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. •Contribution to instrument maintenance, troubleshooting, SOPs and quality documentation. •General laboratory activities required for reliable and efficient operation of the infrastructure. •Close collaboration
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for understanding their reliability and for making informed decisions based on their predictions. This project aims to develop new methods for uncertainty quantification in mathematical and statistical models
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, calibration and reliability of large pre-trained models Probabilistic generative models and world models Probabilistic machine learning for scientific discovery Don’t see your exact idea listed? We encourage
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-based approaches often lack principled uncertainty quantification, limiting their reliability in healthcare applications. This project aims to develop mathematically grounded methods based on probability