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within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? We are seeking a scholarship fellow in the field of electrochemical sensors to join an
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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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-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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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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. 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 repositories. The experience gained
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Battery Systems as well as the COMPEL partners. The aim of the postdoctoral project is to develop next generation simulation methodology to predict thermal runaway on the cell level. The combustion and gas
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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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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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. You will join the Mission 0 House project. The role is designed to actively contribute to the project's goal of achieving zero greenhouse gas emissions through the development and implementation
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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