23 formal-verification-computer-science PhD positions at Wageningen University and Research Center in Netherlands
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Your job Would you like to help build a more sustainable North Sea by exploring how the rapid growth of offshore wind farms (OWFs) impacts the fisheries sector? Join the Environmental Economics and
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and Learning Sciences chair group , a vibrant group of researchers and teachers. Our core mission is to understand and facilitate the unfolding of human potential in response to global challenges. You
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will explore how institutions — formal rules, informal norms, and governance mechanisms — can better support the maintenance, adaptation, and transformation of public space. You’ll study how
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collaborate with local stakeholders. You must also possess: A relevant MSc degree in environmental sciences, physical geography, earth system science, climate studies, agricultural studies, or similar with a
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will explore how institutions — formal rules, informal norms, and governance mechanisms — can better support the maintenance, adaptation, and transformation of public space. You’ll study how
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Your job The Knowledge, Technology and Innovation chair group at Wageningen University welcomes applications for a PhD position in the EXTRA consortium ‘From EXperiment to sustainable change
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, including advice for next steps. Your qualities You have At least an MSc degree related to animal health sciences, animal sciences, veterinary sciences, including knowledge about animal feed and natural
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Your job You will do your PhD research at the Laboratory of Food Chemistry, in context of a collaborative project of our group with Wageningen Research BU Greenhouse Horticulture, and Kraft Heinz
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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science