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to both technical metrics and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR
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work to segmentation algorithms with computer scientists. It is a preference if you additionally have experience in performing interdisciplinary research together with another scientific specialty
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translate abstract democratic, organisational, and societal values such as algorithmic fairness, transparency, explainability (XAI) into rigorous, quantifiable engineering metrics without sacrificing
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EngDs and PhDs that focus on human-AI collaboration in the healthcare domain. Where to apply Website https://www.academictransfer.com/en/jobs/362172/engd-in-prototyping-future-ai-e… Requirements Specific
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impacts of our missions and respond to the major scientific challenges of our times as captured in the new ESA science strategy https://esamultimedia.esa.int/docs/EarthObservation
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, implementable solutions. This output combines novel water quality sensors, microbacterial contamination detection methods and deep learning based algorithms to track and predict the quality of the produced water
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. You will develop and lead an independent research programme in one or more of the following areas: Hardware implementation of advanced signal-processing and machine-learning algorithms, including
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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Handling of data archives You will be responsible for the following tasks
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(for example insect-eye–inspired motion detectors for planetary landing and insect-inspired navigation algorithms) to evolutionary and neuromorphic approaches to autonomous control, as well as soft-robotic