6 machine learning positions at Sveriges lantbruksuniversitet in Sweden

Research assistant - aquatic microbes and their interactions

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

Postdoctoral position in Remote Sensing of Forest Natural Disturbances

imagery, spectral analysis, time-series analysis, change detection, upscaling, data fusion, forest pests and diseases, environmental modeling, machine learning, and statistics are meritorious, as

PhD student in computational microbial ecology

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

PhD position in Radar Remote Sensing of Forest

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

PhD student position. Sustainable nutrient management in food systems

, 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

Researcher - parasitic interaction of aquatic microbes

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