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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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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
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that support the unit for area protection and marine spatial planning, as well as operations at SLU Aqua. Your profile You have documented expertise in marine ecology and computer vision and machine learning
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strong interest for microbial soil processes and an ability to conduct field work in remote places. A driving license valid in Sweden (required for accessing the field sites) Merits: Merits
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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oral communication skills in English. Meritorious: Knowledge and experience in: working with statistical methods and analyses. programming and data processing. We place great emphasis on personal
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conducting experiments at SLU's experimental facility Lövsta, as well as field work at chicken farms and slaughterhouses. A large part of the working time will be spent compiling, statistically processing and
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adaptation and high-versus low intensity forestry. We use empirical and process based modelling, with input data from the National Forest Inventory and long-term experiments. Qualifications: The applicant
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to automate the process of species classification. However, there are still several methodologies that need to be developed to integrate these models into a functioning workflow for ecologists. In this 4-year