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is seeking a qualified junior researcher or postdoctoral scientist responsible for the estimation of future fire risk with the use of the updated SPITFIRE model, based on future projections of
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disciplines. Employees with different backgrounds conduct research in national and international research co-operations. The IGZ is based in Großbeeren near Potsdam and near Berlin and is a member of the
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business models; (v) develop nudges to consumers’ choices of dishes based on minor crop food products; (vi) identify policy instruments and governance frameworks supporting the development of minor crops
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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-based fixed term until 30.06.2028 Remuneration: collective agreement of the German Länder, TV-L E 13 Founded in 1817, the Senckenberg Gesellschaft für Naturforschung (SGN) is one of the world’s major
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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become part of an exciting project at the Senckenberg Museum of Natural History Görlitz (Saxony, Germany). We are looking for a motivated environmental data modeler – data scientist (m/f/d) to support the
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on skills and interest): Build “incentive-preserving prediction models” for variables with positive global externalities, based on country characteristics (GDP, population density…) Develop procedures
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decision‑support tools to inform management and policy, ensuring that monitoring strategies are fit‑for‑purpose. Your profile You hold a PhD in marine ecology, molecular ecology, bioacoustics, or a closely