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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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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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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
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including, for example, food systems studies, global political economy of food production, environmental labour studies, social movements etc; Excellent organizational skills and ability to work independently
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PhD Cognitive Neuroscience: "The Influence of Predictions on the Mechanisms of Conscious Perception"
internal brain states and environmental context shape our subjective experience”. The PhD position is embedded in the Conscious brain lab , and the project will be supervised by dr. Simon van Gaal, dr. Timo
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focus on aquatic ecology or in environmental sciences; Relevant scientific and technical skills, preferably experience with practical field work and with modelling; Good analytical and statistical skills