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University of Leeds Applied Mathematics PhD Projects

We have 7 University of Leeds Applied Mathematics PhD Projects

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  Bayesian Deep Atlases for Cardiac Motion Abnormality Detection from Imaging and Metadata
  Dr A Gooya
Application Deadline: 1 August 2019

Funding Type

PhD Type

Cardiovascular Diseases (CVDs) cause more than 26% of all deaths in the UK, costing over £15 billion each year. There is good evidence that a large array of CVDs can be diagnosed by an assessment of heart motion abnormalities.
  Deep learning for early detection of cancer recurrence in patients with glioblastoma through imaging
  Dr A Gooya
Application Deadline: 1 August 2019

Funding Type

PhD Type

Brain tumours are cancer of unmet need and are the most common cause of cancer death in under the 40s. Glioblastoma is the most common primary adult brain tumour and carries one of the worst prognoses amongst human cancers, with a median survival time of about 15 months.
  Deep learning for outcome prediction after pelvic radiotherapy
  Dr A Gooya
Application Deadline: 1 August 2019

Funding Type

PhD Type

Modern radiotherapy is highly optimized with respect to individual patient anatomy, utilising 3D anatomical imaging for treatment planning and guidance.
  Pattern Formation (Applied Nonlinear Dynamics): understanding the formation and stability of complex patterns such as quasipatterns, spatio-temporal chaos or turbulent spirals
  Prof A M Rucklidge
Applications accepted all year round

Funding Type

PhD Type

Regular patterns, such as stripes, squares and hexagons, are ubiquitous in nature, and their formation and stability are governed by the intricate and complex interactions of symmetry and nonlinearity.
  Representations and invariants of reductive groups
  Dr R Tange
Applications accepted all year round

Funding Type

PhD Type

This project concerns certain representations of groups like the general linear group or the symplectic group over an algebraically closed field.There are three possible problems.
  Stochastic control models for financial applications
  Dr T De Angelis
Applications accepted all year round

Funding Type

PhD Type

This project is devoted to the study of stochastic control problems arising from financial applications. In particular we are interested in the theoretical study of optimal strategies in one of the following classes of problems.
  Poroelasticity and lubrication mechanisms of cartilage in natural synovial joints
  Dr G de Boer, Dr M Bryant
Application Deadline: 31 July 2019

Funding Type

PhD Type

In the most recent understanding of the lubrication mechanisms in natural synovial joints it remains uncertain as to how ultra-low friction is generated.
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