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The University of Manchester, Faculty of Biology, Medicine and Health Information Science PhD Projects, Programs & Scholarships

We have 9 The University of Manchester, Faculty of Biology, Medicine and Health Information Science PhD Projects, Programs & Scholarships

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Showing 1 to 9 of 9
  (BBSRC DTP) Neural circuit mechanisms of sensory perception
  Dr R Petersen, Dr I Schiessl
Application Deadline: 31 January 2020

Funding Type

PhD Type

The cerebral cortex has long been known to be a critical part of the brain’s computational machinery. damage to it, through stroke or neurodegeneration, causes severe deficits of perception and cognition.
  (BBSRC DTP) Predictive Genotype-Phenotype-Fitness Mapping in E.coli
  Dr M Lagator, Dr J-M Schwartz, Dr P Day
Application Deadline: 31 January 2020

Funding Type

PhD Type

Genotype-phenotype-fitness mapping, or the connection between genetic mutations and their effects on organismal fitness, lies at the heart of understanding and predicting evolution.
  Characterising B cells in Rheumatoid Arthritis: Their role in susceptibility, pathogenesis, and treatment response
  Dr S Viatte, Dr Gemma Radley, Prof A Barton
Applications accepted all year round

Funding Type

PhD Type

Background. Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that primarily affects the joints. In the UK, some patients who fail to respond to methotrexate (MTX) and TNF inhibitors (TNFi) are started on rituximab, and 20% will experience a favourable clinical response.
  Combining Synthetic Biology and Modelling to Understand and Predict Evolution
  Dr M Lagator, Dr J-M Schwartz
Applications accepted all year round

Funding Type

PhD Type

Mutations, and their effects on organismal fitness, lie at the heart of understanding and predicting evolution. Because of its central role in determining evolutionary outcomes, much experimental and theoretical effort has been put into describing the fitness effects of mutations.
  Development of Convolutional Neural Networks and Associated Error Estimation Techniques for Vertebral Segmentation in Axial Computed Tomography Image Slices
  Dr N Thacker, Dr P Bromiley
Applications accepted all year round

Funding Type

PhD Type

Osteoporosis is a common skeletal disorder that increases the risk of fractures and causes significant morbidity and mortality. Vertebral fractures (VFs) are often an early manifestation of osteoporosis but are significantly under-diagnosed in clinical practice.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
  Establishing the reliability and validity of digital tools to collect patient generated data
  Dr J McBeth, Prof W Dixon
Applications accepted all year round

Funding Type

PhD Type

Background. The rise in consumer electronics ownership, such as smartphones and smartwatches, offers unique opportunities to collect granular subject-reported and passively collected research data via remote monitoring.
  Exploring the influence of proteogenomics in patients receiving biologic drugs for treatment of psoriatic arthritis
  Prof A Barton, Dr James Bluett, Dr N Nair
Applications accepted all year round

Funding Type

PhD Type

Background. Psoriatic arthritis (PsA) is an inflammatory arthritis, associated with the chronic skin condition psoriasis, which causes joint inflammation.
  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.
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