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discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI and data analysis of large biological datasets. Proficiency in programming and experience in mentoring and/or
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between the four foundational pillars of the PBI: science - interacting with several research groups within and outside PIK, data - an international network of data providers, operationalization - a network
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motivated researchers with a MSc level knowledge in agricultural or hydrological sciences, with sound expertise in Remote sensing applications, big data integration, developing and applying deep learning
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biological analyses of microbial communities in livestock slurry supporting laboratory slurry tank experiments bioinformatic analyses of large-scale genomic and metagenomic sequence data investigation
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reviews, empirical data collection, statistical analysis, and editorial work (manuscripts, social media, and the department’s website) Proactively engage with the vibrant research environment of the unit