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We have 91 Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students in the UK

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Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students in the UK

We have 91 Computational Mathematics PhD Projects, Programmes & Scholarships for Self-funded Students in the UK

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Modelling ultra-low frequency (ULF) waves in Earth’s magnetosphere

The Solar and Magnetospheric Theory Group (SMTG) in the School and Mathematics and Statistics, University of St Andrews, is looking for applicants for a funded PhD project for a start in September/October 2024. Read more

AI enhanced 3D human body shape estimation and garment redressing from clothed 3D scan sequences

UK fashion retailers, particularly in online retail, have long struggled with the cost of returns. To reduce the number of returns in the fashion industry, 3D body scanning technology is a trend to build digital twins for customers, which makes it possible to fit garments remotely. Read more

High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

Investigating the role of verified methods for enhancing trust in digital twins

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Responsible AI for Health and Social Care

The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

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