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other pollution sources on the water environment. In a previous proof-of-concept, Newcastle University researchers have detected a genetic marker for human sewage in river water within 3 hours of sampling
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research, investigating how social environments, biology and behaviours intersect to influence health and functioning. This combines theoretically derived social drivers of health with state-of-the-art
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
transport processes through the environment. A current lack of coordinated monitoring and modelling capabilities across the rural and urban raw water domains (and related scales) means that water quality
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attention on the impact of both treated wastewater discharges and Combined Sewer Overflows (CSOs). In response to these concerns, the UK Government’s Department for Environment, Food & Rural Affairs published
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Supervisory Team: Dr Katrina Morgan ([email protected] ), Dr Ioannis Zeimpekis, Prof Nick Harris, Prof Steve Beeby Project Description: This PhD is a sought after industrial Cooperative Award in Science and Techology (iCASE), with sponsorship from BAE Systems Ltd. Waste heat surrounds us; from...
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the UKRI rate (£19,237 for 2024/25). The start date is October 2024. The Robotics for Extreme Environments Group invites applications for a PhD studentship to develop (semi-)autonomous control of manipulator
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from several culturally-led perspectives. The overarching intellectual priority of the PhD project will be to investigate and respond to the study of marine environments and corresponding cultural
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training environment. As well as carrying out research training in a world-leading research group, membership of CISDnS will provide the opportunity for you to be exposed and trained to handle
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University, benefitting from a stimulating environment that includes weekly research seminars, a diverse expertise in integrable systems, geometry, and dynamics, as well as links with research groups across
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challenges such as image reconstruction with noisy and incomplete data, and deriving, implementing, and validating new image reconstruction algorithms. The project benefits from the scientific environment and