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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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supported approaches to help users formulate and translate natural language questions into structured representations that can be linked to geospatial data sources and workflows. You will contribute
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. Tracking methane cycling—balancing production vs. consumption and tracing carbon substrate sources—remains challenging. We will integrate methane clumped-isotope analysis with carbon and hydrogen isotope
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that incorporates all steps of hydrogen generation/purification from sustainable sources and ammonia synthesis in a single device. The PhD project will be part of the OASYS project funded by NWO in the context
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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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drugs in a variety of different matrices. We enjoy the new challenging projects regarding food and feed safety, for example in relation to the circular economy, climate change and new protein sources
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The origin of life remains one of the greatest mysteries in science. While many theories have been proposed, no single explanation has yet gained universal agreement. That’s where the PRELIFE
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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on the following key questions: Analysing Centralization and Accessibility: Using population data from real world data sources such as cancer registries and data from the central bureau of statistics, the PhD
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in the Power Electronics Group at UT and collaborate with experts from Seine Batteriesysteme, NRG2Fly, and multiple airports. The project also supports open-source developments in MW-charging protocols