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analysis and interface development) Experience in web development and VR application design Solid grounding in remote sensing data analysis Strong skills in quantitative statistical analysis Preferred
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GeoTrAnsQData at Utrecht University. The project aims to develop theory as well as novel methodology for transformative geographic question answering based on conceptual transformation graphs, semantic workflows
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automatic tracking of muscle fascicle kinematics. You will be developing a proof of concept of the real-time control of a bionic ankle-foot based on online ultrasound sensing of the ankle muscle fascicle
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, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use
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international institutions involved in agricultural data governance Author academic publications, reports, and blog posts Support the development of comparative insights across the project's case studies
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be collaborating closely with the PhD student and Maximilian Engel, as well as developing your own research initiatives and (inter)national network. Tasks and responsibilities: Conduct research within