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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms. Reliable, high-resolution rainfall data is urgently needed to improve flood prediction, climate
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the physics of both static and dynamic molecules. Further details: https://gtr.ukri.org/projects?ref=MR%2FX03660X%2F1 The student will gain expertise in nanofabrication, microscopy, and electrokinetic
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well as at CEH and UCL. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https
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waters. This limitation prevents effective early warning, targeted sampling and timely mitigation of pollution events. Furthermore, while real time telemetry from water companies provides valuable data
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equivalent Where to apply Website https://newcastle-university.contactrh.com/jobs/13808/43771946/en_GB Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteNewcastle