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hla PhD Projects, Programs & Scholarships

We have 7 hla PhD Projects, Programs & Scholarships

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  Is there a unique stool and blood inflammatory signature in Ankylosing Spondylitis?
  Prof P Bowness, Prof F Powrie
Application Deadline: 11 January 2019
Ankylosing Spondylitis (AS) is a common inflammatory rheumatic disease of unknown pathogenesis.
  Investigating the causes of inflammatory arthritis with computational and single-cell genomics
  Dr S Sansom, Prof P Bowness
Application Deadline: 11 January 2019
Ankylosing spondylitis (AS) is a common and highly heritable1form of arthritis which characteristically involves inflammation of the sacroiliac joints and spine.
  Investigating the pathogenesis of inflammatory arthritis with computational and single-cell genomics
  Dr S Sansom, Prof P Bowness
Application Deadline: 11 January 2019
NDORMS 2019/10. Ankylosing spondylitis (AS) is a common and highly heritable1 form of arthritis which characteristically involves inflammation of the sacroiliac joints and spine.
  Molecular analysis of neutrophil extracellular traps (NETs) in rheumatoid arthritis
  Dr HL Wright, Prof RJ Moots
Applications accepted all year round
Neutrophil extracellular traps (NETs) kill pathogens via the release of chromatin and anti-microbial granule enzymes in an extracellular mesh or “net”.
  Stem cell binding to the endothelium during extravasation
  Prof G Cossu, Prof N Tirelli
Applications accepted all year round
In a previous clinical trial carried out by the team (Cossu et al. 2015), HLA-matched, donor mesoangioblasts (pericyte-derived myogenic progenitors) were infused intra-arterially to patients with Duchenne muscular dystrophy.
  Dissecting the Determinants of Response to Checkpoint Inhibitors
  Dr B Fairfax, Prof M Middleton
Application Deadline: 11 January 2019
Cancer treatment is being revolutionised by checkpoint inhibitor immunotherapy (CKI). In melanoma, where there is limited role for radiotherapy or chemotherapy, CKI forms the frontline treatment.
  Machine Learning and Integrative Approaches in Immunology: Developing machine-learning and mathematical models to understand heterogeneity of response to personalised cancer immunotherapy
  Dr H Koohy, Prof V Cerundolo, Prof T Dong, Prof A Simmons
Application Deadline: 11 January 2019
Cancer immunology is an area of cancer research that is gaining tremendous momentum. However, responses to immunotherapy are heterogeneous and patient care could be substantially improved by better understanding of how and why responses to immunotherapeutic approaches vary in different patients.
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