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networks around the world, the University of Groningen is truly an international place of knowledge. The Faculty of Law (https://www.rug.nl/rechten/ ) is building on a longstanding tradition of four
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this project, the successful candidate is expected to apply and expand existing knowledge and practices of machine learning techniques to create these novel emulators. The position is split-up in two
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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their skills in econometrics and quantitative as well as qualitative methods (such as surveys and interviews). To have a basic knowledge of Dutch as the data and partners are mainly from Dutch origin. To have
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pathology facilities, expertise in animal disease, and a strong network of national and international partners, we conduct comprehensive necropsies to identify mortality patterns and environmental threats
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
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, seven European universities from the Coimbra network, and partner universities from across the globe to explore further how we can effectively decolonise university heritage. Through analyses
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activities, e.g. within the Quadraam network. This position was enabled by the Sectorplannen Techniek II. Organization Founded in 1614, the University of Groningen has built a strong international reputation
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will