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Field
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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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: how can physics-based flow modelling be coupled with advanced optical sensing to infer methane emission rates accurately and with quantified uncertainty? The project will pursue three core objectives
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Science, Telecommunications, Applied Mathematics, or related fields; Solid background in probabilistic modeling, Bayesian inference, information theory, and/or machine learning; Experience with signal processing or decision
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networks for real-time, adaptive diagnosis. b) Uncertainty in Dynamic Environments: Runtime uncertainties require sophisticated risk modeling; we will employ Bayesian deep learning and deep reinforcement
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include: Analyzing and integrating longitudinal multi-omics data from pediatric cohorts Developing and parameterizing mechanistic mathematical models Applying statistical modeling, causal inference, and
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of nearby molecular clouds and the Milky Way. The multidimensional structure and characteristics of bubbles, voids and cavities of galaxies. Inferring the physics driving star formation using probability
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. The successful candidate will design original solutions for the integration of inference models in heterogeneous programmable user planes composed of a combination of programmable switches, network processing
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been directly observed in planet forming discs around young stars (protoplanetary discs) and is inferred to be occurring around black hole discs. My research projects use a combination of 3D and 1D
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, etc.) development of predictive models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to