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over 600 known members. These compounds pose a significant risk to food safety, yet their full characterization remains a major analytical challenge due to their chemical complexity and natural
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activities. By mapping and analysing the spatial distribution of such initiatives, the project will reveal how urban demand for landscape services—food production, recreation, nature management—relates
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building to examine the nature, organisation and effectiveness of activism in the creative industries. The project will develop both methodological and theoretical contributions to current sociological
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moderation and the DSA is preferable but not strictly required. You have an excellent command of written and spoken English. Given the Dutch context of the project, a working knowledge of the Dutch language
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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the seasonality of that precipitation. Past warm climates such as the Eocene provide natural experiments to test model performance in projecting non-analogue future global and regional hydrology and dependence
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, natural language processing, computational cognitive modelling, neural language models, etc. Ability to code in Python and/or other programming languages. Knowledge of languages other than English would be
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nature restoration, and a good revenue model for farmers. Between now and 2030, ReGeNL will start the transition to regenerative agriculture with 1000 farmers. The aim is to make regenerative agriculture
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on synthetic and physical organic chemistry, inspired by Nature's principles of molecular assembly, recognition, transport, motion, and catalysis. The goal is to create new structures and functions, with
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for scientific communication (in writing and speaking) as well as for professionalizing (large groups of) teachers (in speaking and writing). Speaking the Dutch Language (as the LK-network and teachers will be