19 parallel-processing-bioinformatics PhD positions at Swedish University of Agricultural Sciences
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help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will
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collaborative environment, the project leverages expertise in forestry, genomics, bioinformatics, AI, and data management, providing hands-on experience in field sampling, lab work, and computational analysis
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Description: Plants, like humans have developed adaptive immune systems to enable them to respond to disease threats. In parallel to what has recently been shown in human gut health, microbial diversity on both
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forest ecosystems. Merits include advanced knowledge in ecology and conservation biology, experience with molecular methods and bioinformatics, and mycological competence. Experience in planning
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transcription initiation and termination during several years in growing spruces and pines that are exposed to stress. The project includes both wet lab work and bioinformatic analysis. With our research, we will
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approaches (plant physiology, quantitative genetics and bioinformatics) to understand how heritable plastic responses work at both the individual and population levels. The student will be based in the Swarts
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well as high motivation to pursue doctoral studies. Previous experience with plant nitrogen physiology, trees as a model system, genetics, genomics, and bioinformatics are valuable merits. Place of work: Umeå
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, pharmacology, toxicology, immunology, microbiology, bioinformatics, and One Health. We study production animals, companion animals, laboratory animals, and wildlife to advance sustainable animal health, welfare
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements