4 machine-learning scholarships at Swedish University of Agricultural Sciences in Sweden
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of image analysis, signal processing etc. Knowledge of machine learning methods Knowledge in statistics Proficiency in scientific programming (Python, R, C, Matlab etc.) Experience of forests Driver licence
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knowledge in microbial ecology or ecology. You should show a keen interest in learning machine-learning and other AI methods. The working language is English and excellent communication skills in English
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science, LCA, food science, modeling and simulation, statistics, or machine learning. You will be able to complement your previous knowledge within the doctoral programme if you lack experience in some of
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committed person who wants to learn new things and contribute to a sustainable society. To be eligible, a second-cycle degree (e.g. master's degree or equivalent) in biology, aquatic ecology, limnology