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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements
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given model. As a second task, you will work on software development for model learning, and in particular, on the Python library AALpy . Model learning is done algorithmically, by sending inputs to and
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technological research and development (R&D) concerning turnkey onboard hardware data handling solutions, with an emphasis on: platform and payload data handling architectures and their building blocks (equipment
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, architecture, and development of prototype and product versions of our semiconductor test tools. Translate research algorithms into production-grade, maintainable software. Build and manage a small high
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emerging big data technologies, to maximise impact and benefits for society. Reporting to the Head of the Applications Section, you will be responsible for defining and managing EO research and development
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. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
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Systems Section - and - EO Data Architect and AI Expert in the Ecosystem Development Section within the Copernicus Ground Segment and Data Management Division, Earth Observation Mission Management and
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the definition, design and development of PNT system evolutions, including multilayer systems and related technologies, and covering end-to-end system, architecture, signal, performance, receiver, algorithms and
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remote sensing technology and real-time turbine control. Your focus will be the development of a predictive capability that allows turbines to react to the wind before it hits the blades. Using upstream
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-house and external scientific studies for mission development and implementation, geophysical algorithm development and related research activities; organising mission-specific science workshops and