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personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses and/or
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(max. 10% of your time). Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary Social Science, or a related field; has
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developments have led to a resurgence of state ownership through nationalization, active shareholding and subsidization in the EU, creating new risks for so-called mixed markets, where SOEs and private firms
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role in an inter- and transdisciplinary research community and training programme, who have: a MA/MSc degree in economic history, development or a related discipline; interest in, and ideally some
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How can generative AI (GenAI) support Health Technology Assessment (HTA) of medicines? HTA bodies and technology developers are already experimenting with GenAI, but systematic evidence on where it
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, contributing to neuronal toxicity. In this project, your work will help define the origins of RNA toxicity in HD - a critical step toward developing therapies. Your job As a PhD candidate in this project, you
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’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize
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plants in the automated phenotyping facilities of the Netherlands Plant Eco-phenotyping Centre (NPEC) . Using high-resolution imaging, you will follow plant growth, physiology and disease development after
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such as publication and patent data, and aims to enrich these with other sources on individual paths and preferences. The PhD candidate will have the opportunity to develop unique datasets and apply
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and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen