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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify biofouling impacts on flow-induced vibration phenomena, structural
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bespoke training. 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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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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. Robust evidence is needed to ensure the resilience of flood defences and maintain ecological health. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply For information on how to apply, please see https://www.ncl.ac.uk
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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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this programme. How to apply For information on how to apply, please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=flood261 Contact Details bethan.davies@ncl.ac.uk
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Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply For information on how to apply, please see https://www.ncl.ac.uk/postgraduate/fees
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their visa and to study on this programme. How To Apply For information on how to apply, please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=flood264 Contact Details Ross.stirling