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the understanding and modeling of the hydrological cycle. Our work employs a multi-platform approach, combining measurements from ground-based sensors and satellite constellations (e.g., optical, radar, and
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transmitting vast amounts of data, this global infrastructure holds an extraordinary potential: it can also serve as a real-time sensor for earthquakes. In this project, we explore that potential by developing
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, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors
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for heterogeneous catalysis of gas and vapor phase reactants. Finally, you will have access to world-class characterization through collaboration with the electron microscopy center at Stockholm University. Your
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related to staff position within a Research Infrastructure? No Offer Description Job description The appointee will work on an ambitious project aimed at helping cities to reduce their greenhouse gas
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cement for waste containment. You will work with trace amounts of radioactive tracers in an inert gas glove-box and learn to interpret results into parameters used for safety evaluations of waste
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-series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings). Familiarity with multimodal representation learning and
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to predict thermal runaway on the cell level. The combustion and gas model developed on the cell level will then feed into the work to accurately predict thermal runaway on pack, module, and system levels
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, aiming for a concentrated process gas suitable for carbon capture and utilization or storage. We are now seeking a postdoctoral researcher who will work on sampling and analysis of products from several
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ion transport behaviour in energy storage and conversion systems. experience with relevant analytical techniques, including gas adsorption, electrochemistry, thermal analysis, electron microscopy