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Are you interested in how green initiatives in cities shape the environmental attitudes and behaviour of children? Is it your ambition to become a good researcher, work in an interdisciplinary team
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at improving compliance with defined policies, security & privacy, and environmental sustainability, thus providing a solid foundation for advanced data analytics and artificial intelligence applications. We
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Are you intrigued by adolescents’ susceptibility to planetary health misinformation, including issues like climate change, biodiversity loss, plastic pollution, and other environmental concerns
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
lifestyle factors (e.g., nutrition, physical activity, sleep behaviour, cultural and environmental factors) on oral health and metabolic health outcomes. Use the simulation outcomes to propose intervention
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Epistemic Injustices; AI and educational equity; Environmental cost and extractivist logics of AI; AI, automation, and the transformation of labour; Feminist and/or decolonial approaches to AI. What are you
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of multimodal storytelling. The aim of this position is for the candidate to contribute to the emerging fields of environmental anthropology and ‘multi-species ethnography’ within the Department of Anthropology
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the use cases of digital twins, essential climate valuable workflows, and large-scale big data pipelines provided by research communities of environmental and earth sciences through ongoing projects LTER
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neo-materialist theoretical framework. This approach involves close collaboration with Environmental Studies, Life Sciences or Earth Sciences. a transhistorical approach: investigates the interactions
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between species generates potential to adapt to environmental change. You will be embedded in a research team investigating speciation and adaptation using wood ants and spider mites (led by Dr. Jonna
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sectors in the broader ongoing energy transition. Requirements A recent MSc degree in the natural or environmental sciences (or related field), preferably including affinity with energy systems analysis and