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to appropriately respond. The PhD project will take a unique, multi-method, and longitudinal approach. The basis for the PhD project will be a longitudinal cohort-study, where three groups of youth (starting ages 10
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problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities around sorting and recycling
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sea ice melting along these paths; performing numerical model simulations to explore how changes in winds, ocean temperatures, and other factors affect sea ice in the present and future. You will be
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such as calculating sample compositions, precise mixing using pipettes/scales, and handling instruments and equipment. You have a quantitative mindset with the ability to analyse data, make predictions, and
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)national network of collaborators, while working in an ambitious, motivated, multi-disciplinary team of veterinarians, clinicians, material scientists, biologists, and engineers. These technologies
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. Dr Chisari’s team engages in major large-scale structure surveys (e.g. LSST DESC, Euclid), and visits to Leiden Observatory to collaborate with the lensing group are planned. Involvement in outreach
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and leading multi-stakeholder groups to develop and implementing European or global sustainability standards. You will be working in the expertise group Sustainable Value Chains, one of twelve expertise
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the climate system and have all been identified as large scale tipping elements, albeit on very different time scales. While for each of these tipping elements critical thresholds remain matter of active
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, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore many ways maps can be
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-analytical workflows, turning geodata into new answer maps. We use knowledge graphs to model these transformations and apply AI methods to scale them across large map repositories, enabling users to explore