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Field
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computational efficiency of large-scale simulations. The Chair of Computational Methods in Civil and Environmental Engineering at the Technical University of Munich (TUM) invites applications for Doctoral
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biodiversity datasets with the integration of diverse geospatial and remote sensing data sources to quantify environmental stressors and their impacts on ecosystems. This position offers a unique opportunity to
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suitable for academic, policy and public audiences Lead and co-develop submissions to peer-reviewed journals Your profile Required: PhD in geography, sustainability science, environmental governance, science
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topics in the field of Social Cognitive Neuroscience, with a focus on empathy, prosocial behaviour, and more recently also environmental social neuroscience,. We investigate these phenomena mainly in
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other environmental stresses. However, identifying the genes underlying these complex traits remains challenging. This project will combine plant genomics, artificial intelligence, and evolutionary
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topics. Your competencies You hold a PhD in a relevant field such as industrial ecology, environmental engineering, sustainability science, environmental management or a related area. You have experience
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highly motivated Postdoctoral Research Associate to contribute to research focused on cover crop improvement, agronomic performance, and plant responses to environmental stress. The successful candidate
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Qualificatoins: • PhD in Agronomy, Geosciences, Environmental sciences, or closely related discipline. • Strong background in agricultural remote sensing. • Ability to multi-task and work
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information and contextual metadata such as crop genotype, soil and environmental conditions; • define and evaluate self-supervised learning objectives and embedding strategies, and benchmark their added value
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, the University contributes to a better future.Postdoctoral researcher position in global change biology At the Department of Biological and Environmental Sciences (BioEnv) we have teaching and research activities