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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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patterns, e.g., using space-time clustering techniques. Identify patterns based on observed travel behavior, and relate patterns to real-time and predicted travel conditions to recognize and predict events
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meanings to the racially diverse (digital) players but in a different way from mainstream sports media, which requires new research. Such research should not only attend to the actual content of the game but
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orders. Using 3D field recordings and environmental monitoring, you will uncover how different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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early differences in learning predict language and social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support
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their contribution to rural wellbeing and (ii) their spatial embedding and clustering with other landscape services and economic developments. It explores which initiatives foster vital regions
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of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community
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clusters, such as ‘Global Futures, Colonial Pasts’, ‘Sustainable Transitions in Culture & Societies’ or ‘Popular Culture and Inequalities’. Job description The successful candidate will be based
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of Wageningen University. You will be based at the Earth Systems and Global Change group at Wageningen University. The aim of this PhD is to better understand the effect of different regenerative farming