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Defence Academy invites applications for a fully-funded postdoctoral position in the interdisciplinary area of AI-driven scenario forecasting. This position is in collaboration with the Data Science Center
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Defence Academy invites applications for a fully-funded postdoctoral position in the interdisciplinary area of AI-driven scenario forecasting. This position is in collaboration with the Data Science Center
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) conditions. Your work will provide the "ground truth" for the project. By simulating complex inflow conditions, you will create the high-fidelity datasets required to validate the Wind Field Forecasting (WFF
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work will provide the "ground truth" for the project. By simulating complex inflow conditions, you will create the high-fidelity datasets required to validate the Wind Field Forecasting (WFF) models
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Introduction About SUNRISE SUNRISE (Extreme Events In A Warming, Unequal World: Linking Drivers To Impacts For Improved Attribution, Forecasting And Regional Responses) brings together 19 academic and non
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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form of topic modelling as a method for automated content analysis. Topic models are a probabilistic method that allows organizing the contents of a text corpus into a set of semantically coherent
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air laboratory to uncover how sub kilometer air–lake coupling influences convection, rainfall and heat budgets. The insights will advance coupled models and improve forecasts in vulnerable regions. As a