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University of Leeds Physical Sciences PhD Projects

We have 31 University of Leeds Physical Sciences PhD Projects

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  An integrated approach to the study of cellular interactions with amyloid
  Research Group: Astbury Centre for Structural Molecular Biology
  Dr E W Hewitt, Prof S E Radford
Applications accepted all year round

Funding Type

PhD Type

The formation of insoluble amyloid fibrils is associated with a spectrum of human disorders, the amyloidoses, which include Alzheimer’s, Parkinson’s, type 2 diabetes and dialysis related amyloidosis (DRA).
  Comparative biomechanics of insect flight
  Dr S.M. Walker, Dr G N Askew
Application Deadline: 28 July 2019

Funding Type

PhD Type

We are seeking a PhD student to join the Comparative Biomechanics group in the Faculty of Biological Sciences at University of Leeds.
  Defining a novel assembly pathway in ssRNA viruses using X-ray footprinting.
  Prof P G Stockley
Applications accepted all year round

Funding Type

PhD Type

Project co-supervised by Prof. Peter Stockley at Leeds and Prof. Reidun Twarock at University of York, as part of the White Rose network "Structural and Mechanistic Biology at the RNA/Ligand Interface".
  Development and characterisation of synthetic ion channel binding proteins.
  Research Group: School of Biomedical Sciences
  Dr J D Lippiat, Dr D Tomlinson
Applications accepted all year round

Funding Type

PhD Type

We are developing methods to identify novel proteins, Affimers, that recognise extracellular domains of ion channels. These have applications in various aspects of biology, from tools to visualise the location and distribution of ion channels in native tissue, to novel modulators of ion channel function.
  Mathematical Virology: A New Mathematical Approach to Viral Evolution Grounded in Experiment
  Research Group: Astbury Centre for Structural Molecular Biology
  Prof P G Stockley
Applications accepted all year round

Funding Type

PhD Type

Mathematical modelling of natural phenomena has the potential to be predictive but requires direct verification by experiment. Such models can then be very powerful indicators of our understanding and they permit in silico simulations of situations that are difficult to test experimentally.
  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.
  Structural Biology of Membrane Protein Channels
  Dr C Pliotas
Application Deadline: 5 August 2019

Funding Type

PhD Type

Research in the Pliotas group focuses on the investigation of molecular mechanisms which underlie the structure and function of integral membrane proteins, in particular ion channels and transporters.
  Synthetic Virology: Development of gene delivery vectors/synthetic vaccines
  Research Group: Astbury Centre for Structural Molecular Biology
  Prof P G Stockley
Applications accepted all year round

Funding Type

PhD Type

There is worldwide interest in exploiting our modern understanding of genomics to target gene expression therapeutically via a variety of mechanisms, such as transgene insertion and CRISPR-Cas gene editing.
  Molecular approaches to modulate antibody receptor signalling in autoimmunity
  Dr J Robinson, Prof A Morgan
Application Deadline: 2 August 2019

Funding Type

PhD Type

Autoantibody-mediated inflammatory diseases are characterised by a proinflammatory feedback loop which leads to the destruction of tissues, prolonged pain, fatigue and subsequent reduction in life quality.
  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.
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