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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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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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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
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? If yes, then you might want to join the Ultracold Strontium Group
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requirements You are an engineer looking to use your analytical and technical skills and innate curiosity to create an impact for a more sustainable urban environment. You also thrive in a complex trans