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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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development Complete simulation verification, model validation, uncertainty quantification, and documentation Optimize system and component designs for performance and safety Author peer reviewed papers
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, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained optimal
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, and industry experts. Good communication skills. Good written and verbal communication skills in English is mandatory. Nice to have experience: Statistical knowledge: Experience in uncertainty analysis
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
be combined to facilitate 8 downstream tasks, from land cover change and forest height, to increasingly demanding tasks such as above-ground biomass, soil carbon storage, and model uncertainty ranges
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community on a variety of projects such as: mechanisms for fair allocation under uncertainty, such as teacher assignment, program/facility location, and resource augmentation or reduction information
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under uncertainty methodologies and their applications. Preferences will be given to candidates with experience in one of the following areas: (1) stochastic and distributionally robust optimization and
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familiarity with ML frameworks such as PyTorch, Jax, or TensorFlow. A strong foundation in statistical methods, probability theory, or uncertainty quantification is highly advantageous. Job Family Postdoctoral
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attackers). The algorithmic development will need to take into account various uncertainties and possible adversarial elements wherein some agents in a swarm have been modified by an adversary. The work will
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and