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collect evidence to justify and test network management strategies, such as flushing and flow conditioning, that will ultimately secure resilience in this essential infrastructure and support the ability
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or 22nd July 2024 This fully funded project provides an unrivalled opportunity to develop world-class technology for the monitoring of service reservoirs (tanks). The focus will be on the ability to detect
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into existing networks requires careful consideration to manage risks such as the disturbance of biofilms and corrosion scale that might have built up protective layers in the past. This PhD will address
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Can biophotonics help prevent spontaneous pre-term birth? Department of Electronic & Electrical Engineering PhD Research Project Directly Funded UK Students Prof Stephen Matcher, Prof DOC Anumba
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structure within these networks, much like the natural structure in the brain, different properties can be tailored. By combining network modules with varying properties we hope to create more powerful
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that might be expected because of an intervention. In this sense, the real-world implications of behavioural interventions are hidden from those who might want to use them (e.g., policy makers). For example
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, machine learning, advanced finite element analysis; Desirable: computer modelling, solid mechanics, experience with Ansys or equivalent software, a final year project on a machine learning/biomechanics
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nuclear power as part of the solution to the worlds growing energy needs, we first need a safe disposal strategy for radioactive waste. Vitrification, the chemical incorporation of radioactive elements
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UK Students Prof Christopher Race Application Deadline: 31 March 2024 Details This project is within the EPSPRC Centre for Doctoral Training in The Science & Tecnology of Fusion Power, a collaboration
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candidate possesses: A good honours degree (2:1 or above) (or equivalent) in a relevant field, for example, but not limited to, Chemical Engineering, Computer/Data Science, Environmental Engineering, etc. A