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respondents of panel surveys participate in online interactions. These experiments will be designed to make maximal use of the large heterogeneity of survey respondents, the rich data already available in
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develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align
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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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, and two exchanges. A special element will be the design of EXPLORA kits: through teamwork with other doctoral candidates in the network you will make an EXPLORA kit forming a meaningful contribution
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aerosol transformations inside fire plumes. Explore the link between vegetation dynamics and fire emissions. You will work at the intersection of satellite observations, modelling, and theory, and your
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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. The Plant Production Systems group combines production ecological theory with empirical knowledge to provide a better understanding of sustainability of farming systems around the world. The Earth Systems and
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will work at the intersection of satellite observations, modelling, and theory, and your results will directly feed into next-generation global fire emission inventories (GFED v5.2), with strong impact
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and Global Change group, with supervision by dr. Renske Hijbeek and prof. dr. Hananh van Zanten. The Plant Production Systems group combines production ecological theory with empirical knowledge
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supported to grow professionally and contribute to both foundational theory and real-world impact. Consortium This position is part of a European Doctoral Network consortium REUNATECH- NATECH Risk Management