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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you excited to develop cutting-edge AI methods that contribute to solving global
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& Spatial Planning, Physical Geography, and Sustainable Development. The team of the Department of Physical Geography excels in research and education on BSc, MSc and PhD level. We research processes
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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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’ 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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stakeholders’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations
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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
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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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‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize these indicators; Compute Pareto frontiers under
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: 30 September 2026 Apply now How can generative AI (GenAI) support Health Technology Assessment (HTA) of medicines? HTA bodies and technology developers are already experimenting with GenAI, but