10 federated-learning PhD positions at Swedish University of Agricultural Sciences in Sweden
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At the Department of People and Society, we research and teach environmental psychology, business management and advisory services. The purpose of our work is to create the conditions for
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from environmental samples. To learn more about ongoing research in our group you can check our webpage: https://www.bionomics-mmlab.com/ Your profile You must have a PhD degree (or equivalent) with
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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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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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-parasite model systems and study their interactions in a system with gradual addition of trophic constituents. To learn about our ongoing research you can check our webpage: https://www.bionomics-mmlab.com
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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
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. Qualifications: A master's degree (or equivalent) in biology, ecology, limnology, marine ecology, environmental science or similar topic. Requirements are: A genuine interest in research and science-based learning
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as well as analysis of large data sets and economic calculations. It is therefore important that you have good communication skills, are interested in learning more about the practical conditions of
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services, as well as product quality and the surrounding environment. We teach about crop production, plant ecology, eco-physiology, weed biology, and crop production systems in an ecological sustainability