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will join a unique project aiming to deep-dive into the milk fat globule structure and the emerging properties at all scales. Your results will help to fundamentally understand the role of milk fat
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sector clients working on (social) sustainability in tropical value chains? Would you like to support businesses, policymakers and NGOs in evaluating and learning from programs for improving smallholder
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and measurements, good hands-on problem-solving skills, and the capacity to acquire new skills like plant, disease and insect identification rapidly. Experience and interest in complex data analysis
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research questions and project plans. You will acquire and manage new research projects – primarily medium-sized ones – to strengthen and, where possible, expand the fisheries innovation research portfolio
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will be extended for the duration of the project if you perform well. There are plenty of options for personal initiative in a learning environment, and we provide excellent training opportunities. We
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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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(agent-based modeling, differential equations) or machine learning tools. Good programming skills in one of the following programming languages: R, Python, MATLAB, or similar; Excellent English language