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materials (natural and synthetic fibers, yarns and fabrics) which are highly anisotropic and non-linear. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling
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the AI powering social robots. These robots interact with people in a natural manner by, for example, using speech, gestures, facial expressions and language. By using natural communication
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Forest & Nature Lab at the Faculty
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. For the Forest & Nature Lab at the Faculty
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—the body’s natural “brake” on stress. Resonant breathing has the potential to be a simple, scalable, and low-cost intervention that can be seamlessly integrated into adolescents’ daily lives. Building
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a
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of collections. The ultimate goal of the research is to obtain a doctoral degree. Job profile You hold a Master’s degree (preferably) in Biotechnology or a related discipline You have an affinity for natural
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nature and forests and a keen interest in forest ecology Keen to carry out fieldwork (Brazil, Belgium, UK and Australia) Previous experience with (terrestrial) laser scanning and 3D modelling is a plus