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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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. 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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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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(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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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
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Agency’s EA2030 goals contributing to national resilience, environmental recovery and sustainable water management. For further information on the project, we will be hosting a ‘Prospective applicant webinar
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have opportunity to spend time at the field site and with James Hutton Institute, as well as at CEH and UCL. For further information on the project, we will be hosting a ‘Prospective applicant webinar
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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