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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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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
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis