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24 months, Fixed Term, whole-time Post Applications are invited for a Post-Doctoral research position Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research
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competition and collaboration among stakeholders shapes data sharing and technology adoption across the dairy value chain. It investigates the factors shaping participation in data sharing activities
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unwanted co-products. Valuable co-products that enhance the economics of fuels, like nutrient streams and heat, will also be quantified. We must also consider the end use of the produced fuels, where ease
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practice around wastewater reuse. It also includes laboratory and glasshouse trials assessing the effects of treated wastewater on grass species such as ryegrass and white clover under different climate