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/Associate Professor in Visual Analytics. We seek a researcher with an ambitious research agenda in visual analytics and interactive data exploration, spanning areas such as human-AI interaction, explainable
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized
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co-develop an interactive spatial decision-support framework for agrifood transitions in an interdisciplinary team of four PhD candidates, collaborating closely with farmers and societal stakeholders
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Are you passionate about developing cutting-edge AI techniques to enhance interaction and communication across multiple modalities, such as text, pictures, audio, and video? Join the large scale
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understanding the consumer and user when interacting with food products and services in the context of daily life household practices. The aim is to facilitate user representation in interdisciplinary teams
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our understanding of how cloud-microphysical processes in stratocumulus interact with radiation and turbulence. Working style and research environment: You will join the Geoscience & Remote Sensing
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interaction with WFBR domain specialists, with whom you will play a key role in translating state‑of‑the‑art digital techniques into models that meet their scientific and operational needs. You will work here
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gaps exist regarding the multiscale behaviour of these treatments, from microscale pore interactions to macroscale building performance. This project will advance beyond the state of the art by
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction