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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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migratory species, invasive species, and pathogens across forest ecosystems affected by intensive forestry. Leveraging a globally unique 60-year archive of weekly air filter samples from Kiruna and newly
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across forest ecosystems affected by intensive forestry. Leveraging a globally unique 60-year archive of weekly air filter samples from Kiruna and newly collected samples from Skåne, the PhD student will
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to conduct one's own postgraduate education. This includes, in addition to completing mandatory doctoral courses, using sequence analysis (including phylogenetics [both maximum-likelihood and Bayesian analysis
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experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts
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well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and research in a broad range of areas, from