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Field
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incentives, behavioural drivers, and land-use decisions at the meso-scale (e.g. river basins or regions), using clear case studies. You develop modelling approaches that bridge economic analysis and spatial
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Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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, Engineering, Mathematics, Psychology, Linguistics, and/or other relevant areas Previous experience in participating in research projects (e.g., data collection, analysis). Strong programming skills (Python
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Months: System-Level Analysis and Target Definition: Conduct an in-depth analysis of the overall system architecture and performance needs, translating these insights into specific requirements
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PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication
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has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so
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datasets with phylogenies and environmental variables, the project aims to rapidly explore trait evolution, predict dispersal potential, and assess climate-related risks. This work bridges biodiversity
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of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of
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experience analyzing omics datasets are advantageous (For bioinformatic-mathematic trait) Good performance in biology courses at university Proficient in English (spoken and written) Self-motivated, committed