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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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, the PhD student will work on developing a particle transport model. This will involve examining the variety of equations used by different research communities in the literature and formulating
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resilience across different beef production systems and farm types. A key innovation of this project is the development of a multi-platform modelling framework that links environmental life-cycle modelling
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. The development of offshore wind farms is essential for the energy transition, but it also raises questions about its impact on the marine environment. Each wind farm exerts different pressures on the environment
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are planned for participation in several international conferences). Expected skills Knowledge and technical skills: • Master's degree (or engineering degree) in Evolutionary Biology, Ecological Modeling
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, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by research focus
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Hochstenbach. This project is funded through a Vidi-grant from NWO, the Dutch Research Council. The DWELLWELL project will involve two PhD-candidates working with different methods on different research
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Jaguar Land Rover, this research proposes the Ring Probabilistic Logic Neural Network (RPLNN). Unlike opaque deep learning models, the RPLNN fuses neural computation with probabilistic logic rules within a
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health. This project seeks to develop triple respiratory epithelium models that links different areas of the airways (nasal cavity, bronchi and alveoli) through a circulating fluid system. The models will
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. Computational chemistry will be used to create a library of model compounds differing in lipophilicity and to calculate their key physicochemical properties (e.g. melting point, solubility, size, chemical