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of materials are fed into the machines at the same time. These may include virgin materials from different suppliers, recycled content of varying quality, colourants, stabilizers and other masterbatches
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of vision systems and AI techniques for perception, decision-making, and control, enabling robots to operate reliably in complex agricultural environments. The research will involve design, experimentation
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to detect health risks to humans and the environment, to better understand pollutant dynamics, and to achieve a molecular-level understanding of complex systems. Project A major challenge facing our society
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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experts on dynamical systems and ergodic theory, postdoctoral researchers Josias Reppekus and Misha Hlushchanka, both active in different areas of complex dynamical systems. PhD students and postdoctoral
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of individual swimmers and the complexity of the associated hydrodynamic flows gives rise to a wide range of collective behaviors that remain poorly understood. Addressing this complexity requires the development
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in forests and forestry as complex socio-ecological systems. Our research spans silviculture and forest management, forest ecology, forest pathology, and forest policy and planning. We work closely
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complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics to medicine: our education and
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-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties As a PhD student you
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-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties As a PhD student you