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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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Two PhD positions are available for four-year terms as part of the recently awarded ERC Advanced Grant in the Wouter Roos lab. The main objective of this project is to unravel the molecular
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will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who
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vegetable production. These projects require objective scientific input, combined with the translation of research into practical applications. We work on both short-term solutions in close collaboration with
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within FlexMobility will focus on the underlaying assignment and routing algorithms for real-time operation of the vehicle fleet and the multi-objective design of the mixed transporation network. Our key
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learning, diffusion models, and test-time generalization for perception tasks like object detection, instance segmentation and activity recognition. The position is also embedded in the European ELLIS
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object detection, instance segmentation and activity recognition. The position is also embedded in the European ELLIS Network of Excellence in AI. We also anticipate regular visits to project partner TNO
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the vehicle fleet and the multi-objective design of the mixed transporation network. Our key hypothesis is that it is possible to design a mixed network by simulating how to serve a given demand with an
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them. This involves dynamic engagement like walking, observing, and handling objects. The relationship between perceptual experiences and the dynamic structures of the multi-sensorial information
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through non-reciprocal interactions remains unclear. Existing modelling avenues typically make a priori assumptions on the types of interactions between individual cells. Here, our objective is to develop a