Mathematics & Statistics (School of)
The School has research strengths across Pure Mathematics, Applied Mathematics and Statistics. All the Research groups are internationally-leading, and attract researchers, postgraduate students and collaborators from across the world. The School is also well-known for its research in the History of Mathematics.
For more information please visit the School of Mathematics & Statistics home page.
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Partial differential equation modelling in cancer and development
(University of St Andrews, 2022-06-14) - ThesisThis thesis explores various partial differential equation (PDE) models of the spatiotemporal and evolutionary dynamics of cell populations in different problems in cancer and development. In particular, these models are ... -
Counting processes for spatial capture-recapture
(2023-11-28) - ThesisEstimates of animal density, the number of individuals per unit area, are critically important for understanding ecological processes affecting wildlife management. Increasingly, modern technology like camera traps and ... -
Synthetic observational signatures of coronal heating mechanisms from 3D numerical simulations
(University of St Andrews, 2022-06-14) - ThesisIn this thesis, we investigate the synthetic observables from 3D MHD simulations which explore coronal heating mechanisms. These models include the twisting of magnetic flux tubes, the propagation of transverse oscillations ... -
Combining spatially adaptive statistical modelling methods and computer vision approaches for the automatic detection of animals from high resolution images
(2022-11-29) - ThesisThis study aimed to automate detecting animals in aerial images and improve detection by combining computer vision techniques with statistical modelling of the surveyed area. Knowing the number of animals in an area ... -
An investigation of the magnetic field structure of flaring solar active regions using global magnetic field models and automated techniques
(2022-06-14) - ThesisIn this thesis we explore methods for analysing flaring active regions, in particular studying X-class flares. We use global magnetic field models and machine learning techniques to carry out this analysis. Using both ...
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