5 bayesian-object-tracking PhD positions at Swedish University of Agricultural Sciences
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: The main objective of this PhD project is to use a globally unique and most extensive (1974 onwards) airborne environmental DNA (air eDNA) dataset from Sweden, to test if the air-eDNA method can be used as
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insights that inform biodiversity management. The project includes: · Apply of deep learning models to annotate bird and bat species from sound recordings. · Develop a Bayesian statistical
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for tracking both the state of and changes in our environment. In this project, you will: deepen your knowledge of sampling for objective data collection, combine different data sources to create cost-effective
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Sweden’s national environmental objectives. Read more about the department: https://www.slu.se/ekologi Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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are looking for a PhD student in biogeochemistry of forest soils with a focus on N2 fixation in ectomycorrhizal tubercles. The objectives of the PhD project are to quantify N2 fixation in ectomycorrhizal