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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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This project has a start date of October 2024. There is a growing body of research describing the benefits of exposure to natural environments for human physiology and psychology. Nature, therefore
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joining this ambitious effort, you will contribute to improve the natural environment, the state of our rivers, and help shape future funding and policy strategies in the UK and abroad. Water infrastructure
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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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environmental benefit, and enable smarter investments in water infrastructure and management. By joining this ambitious effort, you will contribute to improve the natural environment, the state of our rivers, and
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experiences, rather than interacting directly with the environment in real-time. Off-line reinforcement learning can be beneficial in scenarios where online exploration is costly, dangerous, or impractical
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of the research environment • Understanding of mouse genetics/development/anatomy/pathology/welfare • Proficient in mouse regulated procedures, including cell and molecule administration • Experience
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-specific experts, and you will join a team of existing post-doctoral researchers and PhD students, with access to state-of-the-art facilities and an unrivalled environment to support our graduate students
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of the funding Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral
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solution for flood risk assessment to support practical flood risk management in both data-rich and scarce environments. Methodology This exciting PhD project aims to harness the latest developments in high