39 algorithm-development PhD positions at Utrecht University in Ireland-University-Ranking-2024 in Netherlands
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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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’ 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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‘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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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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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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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 will design, execute, and analyze single-molecule experiments
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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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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