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large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create
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conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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Fisheries in the Tuamotu Archipelago, French Polynesia”. The project builds on ongoing community-based monitoring and seeks to provide urgently needed data to inform adaptive, science-based management
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through a combination of registry-based epidemiological studies, in vitro modelling of biofilm behaviour, and in vivo investigations of antibiotic pharmacokinetics and efficacy. The project is part of
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. With cutting-edge research, top-tier education, and extensive collaborations, we are a key force in the field. Our core competencies include in vitro ADME models, advanced in vivo methods, computational
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-or script-based), and metadata integration. Demonstrated expertise in both untargeted and targeted metabolomics workflows and strong understanding of statistics and statistical modeling applied
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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research