6 machine-learning positions at Swedish University of Agricultural Sciences in Sweden
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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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(optical and radar) and soil water monitoring equipment. Knowledge of machine learning and data mining. Experience with mechanistic crop models. Knowledge of forage crop management. Holding a valid Swedish
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handling and deployment of computer processes in HPC procedures. We work with developments of remote sensing methods for estimation of forest resources using multi-spectral cameras, laser scanners, and radar
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expertise in water quality, soil science, hydrology, climate science, risk assessment, machine learning, and environmental policy. The researcher will also investigate the fate of contaminants in both soil