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preprocessing methods for instrumental platforms Work on integration of LC-MS/MS derived metabolite annotation into MS imaging workflows Multivariate statistics (including machine learning, neural networks etc
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will train a physics-informed neural network (PINN) for fast, precise predictions of pressure, density, and velocity fields. The project also includes producing feed spacer prototypes through 3D printing
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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(ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together