16 multi-core Postdoctoral positions at Utrecht University in Ireland-University-Ranking-2024
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. Your main responsibilities include: integrating multi-source datasets, including GIS data, and qualitative insights; developing reproducible spatial analytical and GeoAI pipelines to investigate health
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)design; integrating multi-source datasets, including street-view imagery, GIS data, smartphone mobility data, and qualitative insights; applying and adapting state-of-the-art foundational AI and machine
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; Experience or at least affinity with participation, social innovation or community-based initiatives; Experience co-organising international conferences, seminars, or multi-partner events; The ideal candidate
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this fits your expertise and interests, the Interaction Division of Utrecht University is seeking you! Your job We are looking for a postdoctoral researcher to work within the multi-partner HAICu NWA-ORC
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you! Your job We are looking for a postdoctoral researcher to work within the multi-partner HAICu NWA-ORC project. This project is implemented by an ambitious consortium including many universities
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University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation
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the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation. With 3,400 students (BSc and MSc) and 720 staff
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-dependent interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model
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to Sustainability. Sharing science, shaping tomorrow . Utrecht University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation
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interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model trained