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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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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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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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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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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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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic
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Your Profile Doctorate (PhD) in Ecology, Soil Ecology, or a closely related discipline Expertise in identifying soil invertebrates Experience with the analysis of food webs or trophic interactions
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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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PRIF – Peace Research Institute Frankfurt The Peace Research Institute Frankfurt (PRIF) analyses the causes of international and intrastate conflicts. As one of the leading peace research institutes in Europe, we combine interdisciplinary basic research with science transfer to the public, the...
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experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs), calculus of variations, optimal control, who is willing to engage in innovative