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in probabilistic and ensemble weather forecasting, deep learning for spatiotemporal data, uncertainty quantification, data assimilation, or related areas. Develop and rigorously evaluate AI-based
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observations with the laboratory results. The research has potential impact on earthquake hazard mitigation, including early warning and probabilistic forecasting. The PDRA will be hosted by Durham University
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at MBZUAI in Abu Dhabi, UAE. The successful candidate will conduct research in modern statistics, machine learning, or related areas. Relevant topics may include, but are not limited to, probabilistic machine
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apply AI approaches to improve prediction of biological invasions across species, ecosystems, and geographic regions. The project will emphasize the development and evaluation of probabilistic and
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integrate the seismological observations with the laboratory results. The research has potential impact on earthquake hazard mitigation, including early warning and probabilistic forecasting. The PDRA will be
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Weather and climate prediction are undergoing a profound transformation. Alongside traditional physics-based forecast systems, machine-learned (ML) weather prediction models, hybrid ML-physics
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observations with the laboratory results. The research has potential impact on earthquake hazard mitigation, including early warning and probabilistic forecasting. The PDRA will be hosted by Durham University
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September 2026 Reference: 0611-26 An exciting opportunity exists for a post-doctoral researcher to undertake research into probabilistic volcanic ash dispersion modelling. The successful candidate will
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), ISCTE. Organic Unit: Centre for Computational and Stochastic Mathematics Scholarship Theme: A Forecasting Framework for Pandemic Monitoring and Decision-Making Duration: 6 months Maximum Duration
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting- edge deep generative probabilistic models