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transitions across multiple impacts (e.g. climate, biodiversity, deforestation, water, nutrition, and food insecurity). Experience with one or more of the following methods: Geographic Information Systems (GIS
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related field. You have a strong background in quantitative research methods, including statistical modelling, data analysis, machine learning, and/or GIS analysis. You have proven expertise in climate
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sciences, or a related field. You have a strong background in quantitative research methods, including statistical modelling, data analysis, machine learning, and/or GIS analysis. You have proven expertise
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proven excellent technical skills in data science methods as database management, statistics, R, and GIS, and is a team player with a collaborative attitude and ability to work within an interdisciplinary
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management, statistics, R, and GIS, and is a team player with a collaborative attitude and ability to work within an interdisciplinary team (ecology, humanities and economics). Good verbal and written