15 evolutionary-algorithm-"DIFFER" PhD positions at Swedish University of Agricultural Sciences in Sweden
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Description: This project is in the research field of applied evolutionary ecology, aiming at understanding ecological and evolutionary processes that may be relevant for the development of sustainable plant
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Research Farm, a SLU livestock research facility. Join us in pioneering solutions that make a real difference for animals and the people who care for them. Your research can help hens not only to reduce
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. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate
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are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations
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) analysing the effects of different trade-offs between timber production and biodiversity under the influence of climate change, and 3) developing optimisation models based on heuristic and AI-based methods
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combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
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. We have short decision-making paths, which means everyone can make a real difference. Read more here: https://kopparfors.se/ . The ecological function of green tree retention Description: The Ph D
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characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications
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production and environmental considerations and facilitate driving on forest land in extremely dry or wet conditions. We will develop different tools. First, we will model soil moisture in the upper soil layer
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in different environments. Qualifications: We are looking for an enthusiastic candidate who is eager to generate the knowledge needed to develop future nature conservation and forest management