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batteries. The main objective is to develop a molecular-level understanding of electrolyte degradation and to predict chemical stability by constructing reaction networks based on density functional theory
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appropriate treatment—ultimately saving lives. We are particularly looking for applicants with experience in prediction models and biomarker evaluation, causal inference, longitudinal methods, survival analysis
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and also be able to work independently. Specific tasks include: Statistical analysis of complex datasets Development and application of predictive models Contribution to study design, and choice
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. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In
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Meritorious for the position are: You have experience of structure-based protein design or engineering. You have experience with protein structure prediction tools, such as AlphaFold2 or Rosetta, including
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develop completely novel tools for a new type of DNA sequencing data. The project could also include work on high throughput structure prediction to further identify distinct DNA nanostructures with
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flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling these effects is crucial for industrial applications such as gas-turbine internal cooling
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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for
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very favorable pension. Read more on the university website Project description The goal is to develop AI-based multi-modal prediction models for breast cancer, using both medical images (X-ray
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and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the Division of Chemical Biology , we combine and develop protein engineering, synthetic