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Information Science (medical microbiology) PhD Projects, Programs & Scholarships

We have 6 Information Science (medical microbiology) PhD Projects, Programs & Scholarships

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  Who Counts? Understanding and enabling synergies between routine mortality data and data systems inform and rural primary health systems in South Africa
  Dr L D'Ambruoso, Prof P Byass
Application Deadline: 27 March 2020

Funding Type

PhD Type

Described as the single most critical development failure of the past 30 years, in Africa and Asia the majority of births, deaths, and causes of deaths are never recorded.
  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.
  Mathematical and statistical evaluation of Positron Emission Tomography (PET) data for the management of cancer
  Dr M Nath, Prof A Welch, Dr F McKiddie
Application Deadline: 13 March 2020

Funding Type

PhD Type

Combining advanced imaging technologies with patient-level characteristics, it is now feasible to diagnose, monitor and evaluate the prognosis of cancer patients and adopt appropriate treatment strategies tailored to individual patient leading to the concept of personalised medicine.
  Do rural-dwellers develop more aggressive breast and prostate cancer than those living in the city?
  Prof P Murchie, Prof Z Miedzybrodzka, Prof V Speirs, Dr R Vieira
Application Deadline: 13 March 2020

Funding Type

PhD Type

BACKGROUND.
  Is breast cancer more aggressive when developed by rural-dwellers compared to those living in the city?
  Prof P Murchie, Prof Z Miedzybrodzka, Prof V Speirs, Dr R Vieira
Application Deadline: 27 March 2020

Funding Type

PhD Type

BACKGROUND.
  Predicting the risk of moderate and severe exacerbations in Chronic Obstructive Pulmonary Disease (COPD) using linked electronic health records
  Dr M Nath, Dr J Haughney, Prof A Lee
Application Deadline: 27 March 2020

Funding Type

PhD Type

Chronic obstructive pulmonary disease (COPD) is a progressive lung disease requiring timely diagnosis and assessment of the severity as well as intensive treatment and health care support to prevent disease progression.
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