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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
uncertainty in projected ice loss. Science 387,601-609(2025).DOI:10.1126/science.adt9619 Field of Science: Earth Science Advisors: Ian Fenty [email protected] (508) 498-4879 Applications with citizens from
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collaboration with Prof Yulan He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the
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to advance the development and application of reliable, interpretable and uncertainty-aware machine learning methods for high-stakes regulated domains, including law, finance, policy and regulatory decision
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-level modelling of environmental exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a
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on ensuring transparency through citation of source material and developing methods to quantify statistical uncertainty in generated outputs. The post-holder will collaborate with a multidisciplinary team
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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in interdisciplinary fields, knowledge of codes in related disciplines, such as thermal hydraulics, actinide chemistry, fuel cycle analysis, particle physics, or uncertainty quantification. A minimum
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
feedbacks and implications of different decarbonization pathways under uncertainty. Will contribute to one or more of the following areas: advancing methods and computational techniques for human systems
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feedbacks and implications of different decarbonization pathways under uncertainty. Will contribute to one or more of the following areas: advancing methods and computational techniques for human systems
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to substantial measurement uncertainty. The group is particularly interested in latent variable modelling approaches to such settings, where the key quantities of interest are not directly observed and