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integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive, interpretable, and clinically actionable models
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, physics), as well as research groups and large-scale facilities across Europe. The work will be guided by chemical heuristics in combination with theoretical predictions from symmetry analysis, electronic
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interaction); (iii) querying the knowledge base about what was useful in the past to predict actions that might be useful in the present, try them out and update its knowledge base (i.e. update learning). Also
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well as research groups and large-scale facilities across Europe. The work will be guided by chemical heuristics in combination with theoretical predictions from symmetry analysis, electronic structure calculations
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. Project description Holistic understanding of the interactions between climate, productivity, and organic matter decay, will be key for better climate predictions. This project focuses on a long term (~10
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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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lab is dedicated to advancing predictable and robust systems for protein production, purification, and detection. Our research spans protein engineering for therapeutic development, diagnostics, and
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal
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and glycoproteomics. Computationally, they will engage in the analysis of various ‘omics data, be involved in using and improving AI models for glycan structure prediction, and perform biosynthetic