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Entertainment. Large multimodal and specifically vision-language models achieve unprecedented capabilities of general reasoning and perception, especially when empowered with specialized tools. While
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mobile health technologies enable the continuous capture of rich, multimodal physiological and behavioural data. These data when analysed with Artificial Intelligence (AI) and machine learning methods can
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(e.g., conformal prediction, risk-aware decisions); and robotics for fabs?AMR planning/tasking, robotic vision & multimodal perception, wafer/FOUP/tool handling, and RL/Sim2Real. The successful candidate
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
relations, trade practices, and local perceptions of zoonotic risk. Analyse how roads, mining, urbanisation, and migration influence bushmeat markets and disease risk. Produce a doctoral dissertation aligned
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- Autonomous Navigation and Motion Planning in Arctic Environments - Multimodal Perception, Localization and mapping for Robots in Extreme Visibility Conditions - Source Localization and Contaminant Mapping
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AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical
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applicable law. 3. Work plan: The selected candidate will work out R&D on ML-based Perception for AMRs targeting industrial applications. The work plan comprises the following tasks: - Development of a
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- Multimodal Perception and Localization for Robots in Extreme Visibility Conditions - Source Localization and Hazard Assessment Using Multisensor Fusion. - Semantic-Based Exploration Strategies for High-Risk
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paradigms centered on human perception. Finally, the recent rise of foundation models and multimodal artificial intelligence opens up new perspectives at the interface between coding and machine learning
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for autism, recruiting and testing participants, as well as data processing and analysis. The main goals of SHAPE are to map out the relationship between the visual perception of shape and its encoding