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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources Department of Civil and Structural Engineering PhD Research Project Directly Funded Students
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Future food security relies on the efficient and sustainable use of finite land and water resources. Water use efficiency in crops is critical, especially in irrigated systems. Surfactants can
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Supervisor: W Otten Opportunity Reference No: SWEE0259 Future food security relies on efficient and sustainable use of finite land and water resources. Water use efficiency in crops is critical, especially in
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, with only 40% of SO spilling less than the target 10 spills per year in 2023. This PhD project has been co-developed with three water companies and the Environment Agency to address crucial gaps in
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. This PhD project has been co-developed with three water companies and the Environment Agency to address crucial gaps in knowledge needed to make nature-based solutions a central strategy for reducing
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, the project will contribute to building more adaptive and resilient water infrastructure systems, ensuring the long-term viability and security of water resources for future generations. Additionally, as part
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surface water bodies. Climate change threatens to dramatically expand arid areas, whereby 30% of the earth could become at least semi-arid by 2100, severely impacting available water resources for more than
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Resources Research, 56, e2019WR025583. Funding Details Studentship type – UKRI through Flood-CDT (flood-cdt.ac.uk ). The studentship is for 3.5 years and provides a tax-free stipend of £19,237 per annum plus
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Job posting (Bio 05/2024) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a vacancy PhD position in the Biological Oceanography Section for a period of 3 years and a percentage of
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South West Water and the Centre for Doctoral Training in Water Infrastructure and Resilience. EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active