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Field
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devices that can operate in confined anatomical environments and interact with biological tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices
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researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges
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the Faculty of Aerospace Engineering, collaborating closely with experts at NLR and the Ministry of Infrastructure and Water Management to analyse the complex interactions between sustainability, economics, and
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that can interact with human cells and tissues with high spatial and temporal resolution. You will embark on a new project focused on the development of 3D-printed hydrogel bioelectronics for neural
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Forest Inventory is looking for a PhD candidate to develop cutting-edge multimodal artificial intelligence methods for forest biodiversity mapping and monitoring. The project will investigate how
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engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project As AI becomes embedded in everyday work, employees increasingly interact with AI agents
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a particular focus on the integration of artificial intelligence with wireless sensing and communication. The research will study how radio signals and multimodal sensor observations can be jointly
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and their associated microbial communities form an integrated functional entity—the plant holobiont—whose chemical interactions and collective metabolism play a decisive role in adapting
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dataset for the neural networks. A PINN model is developed for the potential flow model to obtain up to second-order nonlinear solutions for water wave interactions with marine structures. The developed
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a particular focus on the integration of artificial intelligence with wireless sensing and communication. The research will study how radio signals and multimodal sensor observations can be jointly