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Field
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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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set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
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strategies, via the assessment of ecological functions, biodiversity impacts, and potential consequences for human health effects. You will help design, implement, and conduct in situ observation studies with
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Give robots a human-like sense of touch. Develop integrated sensors and mixed-signal readout ICs for flexible electronic skin, enabling fast, robust and scalable tactile intelligence for advanced
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discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer vision, and/or synthetic data generation for model training. Solid
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, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly, seasonal) scales, combining sensor-based data with human
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of the Dutch Experiments on Animals Act, or a comparable EU certification for experimental animal use, is an advantage. Proficiency with programming languages (Python, MATLAB, R) is a plus. Additional
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, seasonal) scales, combining sensor-based data with human-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency
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Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer
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to health in the broadest sense: from molecule to human, and from healthcare to prevention. We train healthcare professionals and researchers through innovative educational programmes and conduct