Sort by
Refine Your Search
-
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
-
(NERC) Supervisors Prof Bethan Davies , Newcastle University Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the
-
University. Your work will contribute to safeguarding communities and critical infrastructure in a changing climate, making a real-world impact through science. For further information on the project, we will
-
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
-
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
-
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
-
. 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
-
groups such as the British Geological Survey, Environment Agency and Newcastle University. Your work will contribute to safeguarding communities and critical infrastructure in a changing climate, making a
-
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
-
Application Closing Date 8th January 2026 Sponsor Natural Environment Research Council (NERC) Supervisors Prof Bethan Davies , Newcastle University Eligibility Criteria You must have, or expect to gain, a