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agriculture goes hand in hand with soil health and nature restoration, and a good revenue model for farmers. Between now and 2030, the ReGeNL project will help around 1000 farmers in the Netherlands transition
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for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in top venues; Collaborate closely with the other
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and middle Eocene (~51 – 47 Ma). This time interval covers the transition from the Early Eocene Climatic Optimum to the presumably somewhat cooler early Middle Eocene. One aspect of the research is to
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initiative within this broad scope of coupling an AMOC tipping point (and potentially other climate tipping points) to human societies. Your qualities You are an inspiring and self-driven researcher with: a
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and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
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fidelity. In this PhD, you will help develop these next-generation tools. We are seeking a highly motivated PhD candidate to strengthen our research. Your research will focus on the development of numerical
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evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in top venues; Collaborate
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quality. You will start your research at the landscape scale, and subsequently scale your work up to the full extent of the Netherlands. You will use, refine and add new relationships to existing empirical
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simulations. Job description We are looking for outstanding experimentalists that are eager to participate in our research. The group aims at research at the highest international level. Candidates that fit
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Employment 1.0 FTE Gross monthly salary € 3,059 - € 3,881 Required background Research University Degree Organizational unit Faculty of Science Application deadline 28 September 2025 Apply now Are