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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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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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objectives. About 20% of 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
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on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn and discover how you can become part of our community
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the Eemian, and (2) the complex interactions between global warming, sea level changes, glacial rebound and sediment transport on a more regional scale. The position is part of the Earth System Feedback