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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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? No Offer Description Help develop explainable AI to support human-AI interactions. As a Postdoctoral Researcher at TU Delft, you will investigate how multimodal AI can understand, explain and
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, and Den Otter, Weindel, Stuit, Van Maanen, Plos Computational Biology, 2026 for more information about these methods. The goal of the project is to be able to track differences in strategy use between
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Location ESTEC, Noordwijk, Netherlands Our team and mission This research fellowship will be undertaken in ESA’s Advanced Concepts Team (ACT), ESA’s internal research think tank for advanced space
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tolerance and the nutritional status of tomato fruits for human health. In this project, you will investigate the tomato response to Zn and Fe deficiency and design strategies to improve the Zn/Fe nutritional
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attention and cognitive processing. You will work in a multidisciplinary team using cutting-edge experimental methods, including eye tracking, pupillometry and behavioural paradigms, to advance our
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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project tasks beyond one's own work package, within a large international consortium. A track record of, or clear potential for, publishing in high-impact peer-reviewed journals. Employment conditions and
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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will be embedded in the Human Media Interaction group at the University of Twente and will contribute to the Hybrid Intelligence Centre . You will work in an interdisciplinary research environment