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Field
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importance, model selection, trait prediction, and uncertainty quantification. Substantial professional development opportunities are available, including travel and speaking opportunities at international
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workflow platform. Develop machine-learning surrogate models for model calibration, uncertainty quantification, and active learning to accelerate multiscale simulations. Integrate validated models from
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graph construction and mining, CDE development for data harmonization. Regulatory science and explainable AI, verification, validation, uncertainty quantification, and AI evaluation framework High
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methods & uncertainty quantification LLMs & multi-modal models Graph neural networks (GNNs) Reinforcement learning Edge AI & model optimisation Trustworthy AI (explainability, auditability, privacy
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, synthetic data or data-driven decision support uncertainty quantification, robustness, variation simulation or tolerancing CAD/CAE integration, geometry assurance or quality data automation, control, 5G/6G
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). Computational modeling of complex systems, including physics-based or data-driven approaches. Emerging challenges in modern numerical analysis, such as uncertainty quantification, high-dimensional problems
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., DBH, height, crown dimensions, biomass, and stem quality) uncertainty quantification and propagation in operational forest inventory development of transferable inventory models across species, sites
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inference pipelines for soft biomechanical systems, including differentiable physics engines, to support interpretable analysis, parameter estimation, sensitivity studies and uncertainty quantification. By
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architectures (e.g. neural ODEs, flow matching and continuous normalising flows), robustness, interpretability and uncertainty quantification; collaborate with researchers across the ACT to identify emerging
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-funded project entitled “A continually-learning framework for uncertainty quantification and translation of preclinical studies to human cardiovascular safety”. The central aim of the project is to develop