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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
events. Humans use simulations not only to predict outcomes, but also to evaluate counterfactual outcomes in hindsight. Indeed, counterfactual simulation, that is, simulating what could have happened, has
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://www.biologie.uni-hamburg.de/en/forschung/grk2530.html). The doctoral candidate will investigate the effects of increasing flooding frequency (as predicted under climate change) on the interactions between alluvial
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
to develop prediction methods to identify new food ingredients and flavor modulators. Key Responsibilities AI-based methodologies for protein structure prediction and conformational ensamble Molecular
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systematic uncertainty quantification framework for remote sensing data for bridges. This will be the basis for Bayesian machine learning approachesto predict bridge deformations and manage uncertainty
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, including rare and extreme events. Quantify flood risk and improve early warning predictability in out-of-distribution conditions (climate change, land cover changes), and use explainable and causal ML
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use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify new food ingredients and flavor modulators. Key Responsibilities • AI
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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systems, mainly plants. The BM^2 Lab is mainly computational and uses ad-hoc developed modeling tools such as MorphoMechanX to provide explanatory and predictive scenarios for developmental problems. We