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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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, agronomy, soil science, ecology, biogeochemistry, environmental science, LCA, food science, modeling and simulation, statistics, or machine learning. You will be able to complement your previous knowledge
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datasets. You will also join sampling for generating new metagenomic datasets and be engaged in bioinformatics analyses of multi-omics datasets generated from environmental samples. To learn more about
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science. Fluent in English. Meriting: Experience in remote sensing data processing and analysis Knowledge of image analysis, signal processing etc. Knowledge of machine learning methods Knowledge in statistics
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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/ You will be engaged in both laboratory