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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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Your Job: Remote sensing data from satellites are an extremely valuable information source to improve air quality predictions. They monitor aerosol and trace gases often with global coverage, which
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims at formulating and implementing advanced constitutive models
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Monitoring Duties & Responsibilities: Build early warning and clinical deterioration prediction models Develop continuous clinical risk trajectory modeling frameworks Model time-series data such as vitals
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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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well as experience with simulation model calibration, validation, and prediction. While efforts will be collaborative, the person in the role is expected to work independently and publish results through scientific
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a passionate community collectively aiming to bring novel technologies and science to cutting-edge numerical weather prediction. ECMWF has been the first operational weather centre globally to
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, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable insights that support strategic planning and financial
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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability