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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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. Official transcripts from BSc and MSc degrees, including information on which courses you have taken. 1-2 writing samples. These can be theses work, publications etc. If there are multiple authors on a
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duties The PhD student will investigate the co-limitation of organic matter decomposition by carbon, nitrogen, and phosphorus, aiming to improve our understanding of how multiple nutrient limitations shape
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for geospatial data processing and deploying analytical or predictive models Documented experience of analysis of remote sensing (RS) data, satellite image processing, or google earth engine in water-related
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or frontend server systems, particularly for geospatial data processing and deploying analytical or predictive models Documented experience of analysis of remote sensing (RS) data, satellite image processing
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Biogeochemistry, Environmental Microbiology and Anaerobic Digestion Processes, Environmental Analytical Chemistry, Environmental Communication, Environmental Policy, and Environmental Humanities. This recruitment
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
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. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it