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FindA University Ltd Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
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University of Leeds Bioinformatics PhD Projects

We have 5 University of Leeds Bioinformatics PhD Projects

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  Genomic basis of extra-group paternity in the cooperatively breeding Seychelles warbler
  Dr H L Dugdale
Applications accepted all year round

Funding Type

PhD Type

Indirect genetic benefits are hypothesised to drive the evolution of extra-group paternity (EGP), yet its genomic basis is unknown.
  Marine ecology and spatial planning for changing coral reef ecosystems
  Research Group: School of Biology
  Dr M Beger
Applications accepted all year round

Funding Type

PhD Type

This is an open call for international or self-funded students who wish to develop their skill base in marine conservation science.
  Rational design and production of glyco-peptidic inhibitors of pathogens’ adhesion to host cells.
  Research Group: Astbury Centre for Structural Molecular Biology
  Dr E Paci, Prof W B Turnbull
Application Deadline: 30 September 2019

Funding Type

PhD Type

The ability of protein molecules to stick to cells is crucial for life and disease. The project is based on a novel concept to design adhesive molecules based on multivalence and entropic stabilisation.
  Predicting outcome from cancer treatment using clinical and imaging data in multiple countries
  Dr A Appelt, Prof D Sebag-Montefiore
Application Deadline: 2 September 2019

Funding Type

PhD Type

Background. Prediction models for cancer outcomes can provide direct clinical value and are becoming increasingly important to individualise treatment.
  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.
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