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digital identity system stack trustworthy; and design and execute qualitative and preferably quantitative empirical studies to measure the relationship between the objective trustworthiness safeguards and
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data. It brings together AI researchers and Digital Humanities scholars to seek solutions to the problem of inadequate data-mining tools we have, aiming to derive information from the continuous stream
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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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bring A PhD degree in social sciences, informatics, (digital) humanities, or another relevant field A strong collaborative ethos and an ability to work independently Demonstrated understanding of the Open
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robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical
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. Marieke de Goede. The project is funded by the European Research Council (ERC) through an Advanced Grant. For more information, see https://cordis.europa.eu/project/id/101199713. Join Us! We are looking
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the Engagement & Inclusion and Evaluation & Culture Focal Areas. What you bring A PhD degree in social sciences, informatics, (digital) humanities, or another relevant field A strong collaborative
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scientific basis for the implementation and evolution of Digital Twin Earth, an advanced high-resolution replica of our planet, its processes and its interactions with human activities and ecosystems. You are