-
improved accuracy for unsteady flow problems. Their principal strength is the lower numerical dispersion and dissipation they introduce compared with the low-order finite volume and finite element schemes
-
. Their principal strength is the lower numerical dispersion and dissipation they introduce compared with the low-order finite volume and finite element schemes that currently dominate industrial solvers. In
-
emerged to make meshing more flexible by allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order
-
allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order settings, where curved elements, geometric
-
on current evidence to sustain learner engagement over time. Motivation is a major factor in second language acquisition (Yousefi & Mahmoodi, 2022). The L2 Motivational Self System (L2MSS; Dörnyei, 2005) is
-
… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills/Qualifications IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent. Full
-
://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-f… Requirements Research FieldComputer scienceEducation LevelUndergraduate Skills/Qualifications IELTS 6.5 Overall (with no individual component
-
analysis. Funding This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26).
-
techniques and experience in programming. Proficiency in clear scientific writing and in data analysis is important. The successful candidate will be expected to demonstrate a level of self-determination and
-
simulation. The skills developed through this work will align strongly with careers in scientific computing, engineering simulation and applied machine learning for design and analysis. Funding duration: 3