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and nutrient acquisition. The project will also explore whether the magnitude and structure of fungal plasticity vary across AM fungal lineages, addressing fundamental questions about the evolutionary
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nomenclature, standardize laboratory test methods and result vocabularies, and translate clinical and laboratory free text into structured terminology. The project combines classical text algorithms, medical
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dimensions andanalyse particle trajectories using a combination of established tracking algorithms and machine-learning-based approaches. You will further correlate the diffusive behaviour of viruses
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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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algorithms, the method can automatically discover both the rules and probabilities needed to model complex graph behaviors, offering a more interpretable and verifiable alternative for future AI systems