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collaborate with software engineers, systems engineers, and operations specialists, and you will see your algorithms tested on realistic scenarios and data. Candidates interested are encouraged to visit the ESA
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for prediction, explainability, prediction under intervention, algorithmic fairness, transparent model validation, and post-deployment quality control. You will also lead the implementation of the Data Science
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-driven model for assessing the reliability of official network maps (KLIC deliveries). You will build a prototype algorithm that can be used by infrastructure and civil engineering professionals to better
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data, complicated algorithms are required. Some of these algorithms are yet to be developed and/or validated, with real data from polar regions required in order to do so. A dedicated airborne radar
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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: designing and developing prototype algorithms for ground processing of Synthetic Aperture Radar images, with a focus on X-band systems; developing Synthetic Aperture Radar image processing; validating and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As professor of Health Data Science, you will lead the Data Science team
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adaptability, and safety; Applying AI and optimisation techniques (e.g. reinforcement learning and evolutionary algorithms) to adapt locomotion strategies to varying surface conditions; Supporting
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DSP algorithms for FSO communications.
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Are you motivated by improving reproducibility, engineering reliable pipelines, and deploying cutting-edge retrieval algorithms in real‑world settings? We are looking for a skilled and driven