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  • DSTrain
  • Research Areas 2025 (Call 2)
  • Mathematics & Statistics
    • Bayesian machine learning
    • Causality-Inspired Machine Learning
    • Computational modelling of soft and complex interfaces in flows and bio-inspired phenomena
    • Double descent and sufficiency
    • Explainable and scalable statistical models for complex data
    • Fluid Mechanics
    • Gradient boosting for time-to-event analysis
    • Risk, reliability and machine learning
    • Risk evaluation, control and machine learning
    • Risk management in renewable energy markets
    • Stochastic filtering, numerics, and machine learning
    • Stochastic modelling of natural processes