10 natural-language-processing PhD scholarships at Swedish University of Agricultural Sciences in Sweden
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for multiple ecosystem services and nature conservation via the integrative approach). IFM combines productive forestry and biodiversity conservation by integrating existing practical and scientific knowledge
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to jointly experiment with and learn about scaling processes of SFNs. The research will involve interviews with stakeholders as well as in-case and cross-case analysis (with the cities of Malmö, Trento
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programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution, and statistic are merits as well as documented
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employees and combining research from natural sciences, social sciences, humanities, design and engineering perspectives. Within the Urban vegetation subject area, we are a collaborative multidisciplinary
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are, for example, novel food technologies, but also well-known food processing methods such as for example tofu and tempeh production using raw-materials that can be domestically produced. The research will be based
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degree or similar in a technical field, e.g., Engineering Physics, Electrical Engineering, Computer science. Fluent in English. Meriting: Experience in remote sensing data processing and analysis Knowledge
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. The multidisciplinary research environment entails research from humanities, social sciences, natural sciences, design and engineering perspectives. The department consists of approximately 85 employees active in
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of environmental changes on plant-associated microbial communities by carrying out both lab and field experiments and by using advanced molecular and data processing methods. Qualifications: The candidate is
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placed in the Soil Microbiology group focused on the roles of microorganisms in soil nitrogen and carbon cycling and their effects on ecosystem processes. Read more about our benefits and what it is like
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experiments, as well as data processing and writing. Qualifications: The successful candidate should have: Exam in crop science, biology or agronomy. Sound knowledge of plant ecology. Interest in agriculture