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glioblastoma PhD Projects, Programs & Scholarships

We have 5 glioblastoma PhD Projects, Programs & Scholarships

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  Analysis of tissue remodelling and lipid metabolism in glioblastoma cancer stem cells using advanced chemically- and mechanically-sensitive optical microscopy
  Dr F Siebzehnrubl, Prof P Borri
Application Deadline: 25 November 2019

Funding Type

PhD Type

Glioblastoma is the most common and most lethal adult brain cancer. High patient mortality is partly attributed to glioblastoma cancer stem cells causing recurrence of therapy-resistant tumours.
  Optimising neuroimaging in the management of brain tumours using artificial intelligence
  Dr T Booth, Dr M Modat
Application Deadline: 4 November 2019

Funding Type

PhD Type

Glioblastoma is the most frequent and aggressive primary malignant brain tumour in adults. It carries an annual incidence in England of 4.64 per 100,000[1].
  Use of highly multi-modal PET and MRI data as a predictive biomarker of the site of recurrence in neuro-oncology
  Dr R Hinz, Dr David Coope, Prof A Jackson
Applications accepted all year round

Funding Type

PhD Type

Primary brain tumour including glioblastoma (GBM), the most aggressive and most common form in adults, continue to have a socioeconomic impact that is disproportionate to the tumour frequency due to our inability to obtain a cure in the vast majority of adult sufferers.
  How does amino acid metabolism affect tumour growth?
  Dr L. Cheng
Applications accepted all year round

Funding Type

PhD Type

The effect of diet on tumour growth is hotly debated but poorly characterized. Due to the heterogeneous nature of the tumours, dietary studies in patients with varied genetic background often led to inconclusive outcome.
  Multimerisation of ELAV/Hu proteins – a key mechanism ensuring specificity for RNA recognition in health and disease
  Dr M Soller, Dr T Knowles
Applications accepted all year round

Funding Type

PhD Type

Aims. Determine the structure of the ELAV dodecameric complex bound to target RNA by cryoEM and functionally probe interaction interfaces in vitro and in vivo in transgenic Drosophila models for neurodegeneration and cancer.
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