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in MATLAB, R is a plus); Experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch); Familiarity with computational modeling of neural processes; Background knowledge in
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combine EMI footprints, which capture normal variations through characteristic curves and statistical distributions, with state-of-the-art machine learning and deep learning techniques (e.g., one-class
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Applied ecology PhD: Large carnivores in Scandinavia from individual movement to population dynamics
) in Scandinavia. You will develop and apply integrated models combining spatial capture-recapture and GPS data, working with a diverse team of ecologists, statisticians, and computer scientists from
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