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for GIS, cartographic maps, geodata infrastructures and geo-analytical workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English
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on the project “Impact of terrigenous mineral input on marine silicate alteration and element cycles”. Your job On geological time scales rock weathering controls Earth’s climate by providing a natural CO2
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deadline: 23 January 2026 Apply now Join our world-leading research lab in Requirements Engineering, part of the Software Production group, as a PhD candidate. We seek a PhD candidate who is eager
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interested in natural language processing, geographic information and knowledge representation. It is part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA
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engine). This position is ideal for someone interested in natural language processing, geographic information and knowledge representation. It is part of the ERC-funded project GeoTrAnsQData, which
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processes and help collectives envision and develop the organisational and digital tools required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities
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your time will be dedicated to this training component, which includes following courses and/or workshops (some of which are mandatory), as well as training on the job in assisting in the bachelor’s and
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required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities and disciplines, from social psychology and urban planning to governance studies and
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part of the selection procedures of academic staff. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. If you have an international (not-Dutch) Master