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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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information about the total announced post-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/392999 . The interviews will start in April/May 2026. For more
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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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statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
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validated predictive models of pavement deterioration. The position is research-focused, with opportunities to strengthen independence and build qualifications for future academic or industry careers
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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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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor Juan-Jesús Carrero, each member brings together strengths ranging
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our research team. We study how the environment affects contemporary evolution and its predictability, using laboratory and field data of Trinidadian guppies. Global change rapidly alters species
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in ageing using insect model systems. The position is available for two years with possibility for extension. Mutations in somatic cells may be important drivers of ageing. This predicts a relationship