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models of society and their resilience. Since 2019, SCRIPTS has been funded by the German Research Foundation (DFG) under Germany’s Excellence Strategy (Exzellenzstrategie) initiated by the federal and
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, and in collaboration with Previsico Ltd. and the US Geological Survey, the researcher will combine fieldwork, remote sensing, and modelling (using CAESAR-Lisflood) to quantify how burned landscapes
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integration into neural circuits to result in functional, restored behaviour. We will use the fruit-fly Drosophila as a model organism for its powerful genetics and molecular cell biology (e.g. CRISPR/Cas9 gene
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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. The resulting findings will help understand how the brain works, how we can maintain brain health and what causes brain disease. Methods We will use the fruit-fly Drosophila as a model organism, for its
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towns and cities as flood peaks, known as Natural Flood Management (NFM). Most research on NFM centered on hydrological modelling and its effectiveness in reducing flood peaks at varying spatial scales
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Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
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observational studies and theoretical or computational modeling. It offers an international and collaborative work environment that values equality, diversity, inclusion, and well-being. Group members have ample
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validation of the numerical model. Candidates should be holding a MSc degree in Engineering (or equivalent), with demonstrated experience in computational fluid dynamics (CFD), preferably in hydraulic
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2 Nov 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for DATA Research Field