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building-energy data; (b) build load/renewable-generation forecasting and PV–ESS–HVAC energy optimisation/control models; (c) implement data pipelines, Python APIs and visualisation; (d) deploy and
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mechanisms, forecasting performance, return period, and multi‑sectoral impacts using high‑resolution meteorological data, satellite imagery, and climate models. It evaluates both natural drivers (El Niño
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) (PDF) under the protocol established with +ATLANTIC - “Dynamic downscaling of European CAMS air quality forecasts to high resolution over Portugal”, CV 181/2024 of Centre for Environmental and Marine
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Candidate (DC) to work on Work Package 3. As DC11, your research objectives are to: Harmonise genomic workflows and integrate AI for variant detection and outbreak forecasting Build secure, interoperable and
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Description We are hiring 1 Research Fellow in computational science and machine learning for extreme weather forecasting applications. The ideal candidate should be skilled in coding, and software development
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, environmental hazards, and human health using integrated observations, forecasting systems, artificial intelligence, and statistical approaches. The team works across multiple spatial and temporal scales
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vaccination barriers and facilitators, develop forecasts of vaccine coverage for existing and novel vaccines (e.g. HPV, RSV, malaria), and support the design and implementation of small area estimation and
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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of
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"Crop Growth Monitoring and Yield Forecasting". This project aims to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data
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: • Develop and benchmark multimodal AI / foundation-model approaches for spatiotemporal forecasting. • Build reproducible AI training and evaluation pipelines, as well as uncertainty quantification