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Statistics (environmental education) PhD Projects, Programs & Scholarships

We have 5 Statistics (environmental education) PhD Projects, Programs & Scholarships

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  Tracking Greenland’s Melting Ice from Space
  Dr M McMillan
Application Deadline: 6 March 2020

Funding Type

PhD Type

This project offers the exciting opportunity to study Greenland ice sheet melting, and its associated impact upon global sea level rise, using recent advances in satellite and ground-based radar systems.
  Sun drenched or sun starved: Evaluating climate and ecosystem impacts of solar energy development
  Dr A Armstrong
Application Deadline: 29 February 2020

Funding Type

PhD Type

The rationale. Decarbonisation of energy supplies to mitigate climate change is triggering notable land take across the world. Land-use change is the greatest driver of decline in nature and therefore, such decisions risk trading global-scale climate change for local-scale ecosystem degradation.
  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.
  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.
  Dam reliability assessment
  Prof S Ferson, Dr L Di Sarno
Application Deadline: 30 April 2020

Funding Type

PhD Type

Dam failures can be estimated by structural reliabily analysis given local environmental conditions and history (if available). Such analysis can be used to identify dams at risk and derive fragility curves for multiple natural and man-made hazards.
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