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pathways underlying these interactions. You will focus on application of bacterial isolates and synthetic communities and study how they affect plant resilience and development. You will perform in-depth
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. Proficiency in English, both written and spoken, with the ability to communicate complex ideas clearly. Experience with statistical programming (e.g., Stata, R). Ability to work collaboratively in a
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their learning opportunities, participate in local research networks, and access leading research facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria
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. For recent work in this area, see: https://doi.org/ (...)17/S002205072300027X and https://papers.ssrn.com/ (...)?abstract_id=4155944 The PhD position is embedded in the research programme Economics
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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areas in Lower Saxony, Germany, and Fryslân, Netherlands, and is developing a Strategic Conservation Plan for meadow bird habitats in Western Europe and West Africa, including habitat restoration plans
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will inform port operations in the Netherlands and globally, as part of the project objectives. Key responsibilities Develop own research plan (in alignment with the project and assisted by supervisors
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- Wageningen University & Research ) and Dr. Karen Kloth ( Karen Kloth - Wageningen University & Research ). Your project is part of the MiCRop Consortium programme on microbial imprinting of crop resilience
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://research.wur.nl/en/persons/rieta-gols ) and Dr. Karen Kloth (https://research.wur.nl/en/persons/karen-kloth). Your project is embedded in the MiCRop Consortium programme on microbial imprinting of crop resilience
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning