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; the advent of the Solar System internet and the associated challenges in network management and operations concepts, for example, new forms of user-machine interfaces, such as AR/VR; new ways to leverage
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the local electricity system, while acquiring academic perspectives? Information This position is dual fold and has both a teaching and a research related aspect. Power networks are critical
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engineering using genetic modification can solve some of these problems, but introduces regulatory complexities and biological challenges of it’s own. Epigenetic editing, the controlled reprogramming
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societies govern complex human, animal and environmental health challenges? Do you enjoy working across disciplines, engaging with diverse partners, and translating research into actionable strategies
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stakeholders, including conducting a Delphi study to establish shared principles and system boundaries; analysing and interpreting existing LCA, HTA and healthcare datasets, translating complex data
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to ESA’s strategy; a wide network of relationships and collaboration with top academics, industry and research centres; the opportunity to contribute to the Φ-lab strategy and activities. As an internal
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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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scientific research in electrochemistry and materials for electrochemistry to distil complex science into core principles and develop methods that advances teaching and learning. The project is part of
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contribute to governance. We welcome research projects that use intelligence as a lens to understand political and social transformation in an era of complexity and uncertainty. We particularly encourage