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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 20 days ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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on the integration of solar systems across spatial scales, linking resource characterisation, building physics, and data-driven modelling. The research is conducted in close connection with the INES platform (Institut
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collaborations across research groups and external partners in academia and industry. The PhD student will join a vibrant scientific community dedicated to developing sustainable, data-driven, and ethically
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Computational Geosciences and Modelling at the NORCE Energy and Technology Department in Bergen. About the position The position is part of the Norwegian Research Council funded centre for environmentally
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Engineering Description Key areas of research include: Scenario generation with LLMs to expose hidden failure modes in E2E models. Embedding regulatory, behavioral, and environmental knowledge into generated
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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
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repaired, reused, or discarded requires sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models
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22 Oct 2025 Job Information Organisation/Company Dublin City University Department Biodesign Europe Research Field Engineering » Materials engineering Engineering » Biomaterial engineering
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
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theories and models. This project aims to develop new insights into how bedrock incision processes interact with geological and climatic factors (i.e. spatially variable uplift, shield building, mega