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circular systems and improve the conditions for cultivation in urban environments. The aim is to contribute to advancements in wastewater treatment and resource recovery for sustainable water management and
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. The aim is to contribute to advancements in wastewater treatment and resource recovery for sustainable water management and food production. We will work in parallel with different areas that all connect
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imperative to safeguard both human well-being and the integrity of our natural environment. Currently, no water or wastewater treatment plants are designed to target micropollutants, resulting in the presence
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PhD Project – Supervised and knowledge-guided machine learning approaches for quantifying and identifying microorganisms in water and wastewater treatment Job No.: 648559 Location: Clayton campus
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Worldwide decentralized water and wastewater systems, including in UK rural areas and Islands, can have a high cost and be unreliable, often failing during treatment. This project is part of
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-September) Project description: The occurrence of per- and polyfluoroalkyl substances (PFAS) in biosolids of wastewater treatment plants is becoming a serious issue since these substances are persistent in
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alkyl acids input to the anthropogenic water cycle. We will develop a passive sampler of PFAA in municipal and industrial wastewater and landfill leachates. This enables the management of concentrated
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for the treatment and recycling of nutrients from food wastewater by physical and biotechnical methods Supervisor: prof.Ing.Ľuboš Jurík, PhD. Workplace: Institute
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communication model and framework for distributed DTs, this PhD position is for you. PhD project is a part of the “Intelligent Wastewater Treatment: Distributed Digital Twin for Clean Water (DDTclean)” project
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, this PhD position is for you. PhD project is a part of the “Intelligent Wastewater Treatment: Distributed Digital Twin for Clean Water (DDTclean)” project, funded by the NWO Merian Fund. The main use-case in