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of innovative signal processing techniques. You will be involved in the following activities: Development and assessment of advanced signal processing techniques to improve detection of moving targets; Research
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subsystems (such as TT&C, PDT and ISL), as well as payload signal and data processing techniques. Duties You will report to the Head of Section and within the technical fields described above, your main tasks
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networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence, especially over long
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the duration of a signal theoretically, in tight collaboration with experimental colleagues. The project requires interest in developing statistical physics, stochastic processes, or information methods, a focus
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-Earth orbits, novel signals and frequency bands; the implementation of the Celeste In-Orbit Preparatory (IOP) phase to prepare for a future LEO-PNT operational system for the European Union and to unlock
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on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen the link
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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute
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concepts, and all related techniques and technologies for Earth, space and Solar System applications, system/segment/payload system architectures and performance, signal-in-space and signal processing, GNSS
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of robotics, life and physical sciences instrumentation, optics and opto-electronics. Within the Division, the Robotics Section is the focal point at ESA for matters relating to the design, engineering and
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master's degree in a relevant discipline such as signal processing, electronic engineering, Earth science, computer science or data science, together with at least 10 years of relevant professional