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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
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project investigating how environmental contaminants, particularly heavy metals, affect taste perception and nutrient sensing in the gastrointestinal system. This large-scale project, with partners