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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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about uncertainty processing across these different scales. At later stages of the project, the role holder will have the opportunity to work with co-Is responsible for climate modelling and longitudinal
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candidate will benefit from a network of European experts in different fields (gene therapy, pharmacology, bioinformatics, disease modeling, imaging) and will have the possibility to visit other labs in
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dies will be designed to allow processing of different shapes (strains), at different temperatures and at different forging rates. The project runs alongside the commercialisation of the process, and
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-year research and innovation programme developing next-generation circular steels that can safely operate in hydrogen environments. By combining advanced experiments with multiscale modelling, CIRHY aims
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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career for everyone at the University of Edinburgh. We can offer opportunities for you to develop in your career and make a real difference in the communities around us while contributing to the world
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measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines
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individual independence. These key characteristics make EIPP a role model, which has inspired similar programmes at research institutions throughout Europe and the World. Find out more about recruiting groups