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Field
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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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to end simulator (CHEES): simulating, testing and generating hyperspectral products | SPIE Sensors + Imaging Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of
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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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feasible structural health monitoring technologies. Cost–benefit assessment of sensor deployment and measurement interpretation strategies. This is a multifaceted project at the intersection of structural
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of sensing, signal processing, and movement that comes so naturally to us. This project, funded by an European Starting Grant, aims to develop a new class of chemical touch sensors that can be incorporated
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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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retention tests. Microstructural analyses (micro-CT scan, MIP, XRD, ESEM). Experience with sensors acquisition and development. Saturated and unsaturated elasto-plastic models. PhD in a related field
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DSP algorithms for FSO communications.
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will: be part of the flight control team of Solar Orbiter. analyze the existing manual workflow and optimize it for automation. develop the algorithm which operates the planning system using the command
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that enhance the development and evaluation of advanced analytical models using health data. This includes methods for prediction, explainability, prediction under intervention, algorithmic fairness, transparent