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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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analysis with societal relevance? You might be the ideal PhD candidate to join our team! We are looking for a highly motivated PhD candidate to assess how regenerative practices influence carbon and nitrogen
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and self-motivated PhD candidate to contribute to our understanding of advances, gaps and opportunities for impact-based forecasting for vulnerable population groups across Africa. You will work at the
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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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(or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and climate questions. Ability
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for their ability to undergo somatic embryogenesis, and then use genome-wide association (GWAS) mapping, transcriptomics and proteomics to identify the quantitative trait loci (QTL) that are significantly associated
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Your job Are you passionate about spatial analysis and statistics of environmental properties, and are you not afraid of a challenge? Then this vacancy is just right for you! Your research will
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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management? Your work will combine theoretical analysis with real-world case studies to identify promising institutional approaches. You’ll evaluate current governance mechanisms, financial instruments, and