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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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methods for LLMs, and (iii) develop a benchmark for uncertainty quantification in LLM-based scientific agents. The project will be carried out under the supervision of Martin Trapp and Hossein Azizpour, and
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directions within geometric learning and uncertainty quantification will also be available for you to explore. This PhD position offers a unique chance to influence the trajectory of our group's work and
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of Lepton Number Violation to nuclear transition operators, computation of relevant many-body LNV operators in light nuclei for benchmarking and uncertainty quantification purposes, and the broader
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the quality of uncertainty estimates by standard methods for LLMs, particularly with deep generative models, and (iii) develop a benchmark for uncertainty quantification in LLM-based scientific agents. The main
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new methods and tools to design, develop, and monitor the safety of ML-enabled, safety-critical systems. One crucial aspect of this exercise is uncertainty quantification of ML models: the ability
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help
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uncertainty management. (https://www.onera.fr/en ) Task description for your Individual Research Project (IRP) Problem Definition: The assessment of environmental impact of launch vehicles depends on both
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and health. The lab conducts method-driven research in natural language processing (NLP) and artificial intelligence (AI), with an emphasis on LLM reasoning, uncertainty quantification, interpretability
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will serve as efficient and physically consistent proxies for traditional solvers, supporting tasks such as forward simulations, uncertainty quantification, and data assimilation. Project funded by