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Field
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• Uncertainty quantification and predictive engineering Micro/Nanoscale Systems and Intelligent Materials • MEMS/NEMS and micro/nanoscale devices • Advanced sensing and actuation • AI-guided materials discovery
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analysis and design • Physics-informed machine learning • Uncertainty quantification and predictive engineering Micro/Nanoscale Systems and Intelligent Materials • MEMS/NEMS and micro/nanoscale devices
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, analyse, and validate innovative numerical algorithms and mathematical frameworks for problems arising in materials, fundamental physics, dynamics, optimisation, control, uncertainty quantification, inverse
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): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer the opportunity to work in a very
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: Research and tool development at the intersection of artificial intelligence and scientific computing including physics-informed neural networks and digital twins; uncertainty quantification, high
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-NorthWind webpage for more details): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer
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, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour interactions, and will emphasize rigorous uncertainty quantification and reproducible, scalable analysis of large multi-omics datasets
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, multidisciplinary team environment. Preferred Qualifications: Knowledge of uncertainty quantification methods and causal inference for complex environmental systems. Experience with large-scale Earth system
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interactive system design, serious games, or real-time human-machine interfaces. Experience with AI methods such as generative models, reinforcement learning, online/adaptive learning, or uncertainty
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uncertainty quantification using Bayesian inference techniques based on experimental and/or synthetic data. Investigating efficient data representations (embeddings) for raw data recordings from the in vitro