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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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system is expected to have, (ii) set up the connection with a software system for executing tests consisting of inputs and outputs, and (iii) select test generation algorithms that derive tests from a
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of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
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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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. 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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on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
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receivers, algorithms, OD&TS, formation-flying and RF/optical metrology. Duties You will report to the Head of the Navigation Systems Definition Section and, in the technical fields above, your main tasks and
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synergy approach, fully leveraging on cloud computing environments, the integration of non-EO data sources and cutting-edge digital technologies, as well as pursuing open-source algorithms and tools
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numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements. Quantify the impact of predictive adjustments on turbine
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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