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risk analysis PhD Projects, Programs & Scholarships

We have 149 risk analysis PhD Projects, Programs & Scholarships

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  Developing automated risk analysis and modelling tools for drone operations
  Dr T McCarthy
Applications accepted all year round
Funded by Science Foundation Ireland and involving collaboration with Industry partners including Airbus, Irelandia Aviation and Intel, U-Flyte is a R&D partnership, established to tackle the current global logjam impeding the wider development of drone operation and rollout of commercial services.
  Modelling Global Floods - MScR in Global Environmental Challenges
  Prof P Bates, Dr J Neal
Application Deadline: 1 August 2019
About the Project. Floods are the costliest and most deadly class of natural disaster, affecting 78.1 million people and causing $59Bn in damages in 2016 alone.
  Biomechanical risk factors in ulcerated and non-ulcerated high risk patients with diabetes
  Prof J Woodburn, Dr J Hurst, Dr D Wilson
Application Deadline: 14 April 2019
The Scottish Diabetes Group Risk Stratification (or traffic light) system can classify patients at high risk even without ulcer history.
  Personalised risk evaluation in DCIS: are there molecular biomarkers that can predict which DCIS are at higher risk for recurrence?
  Dr K. Gorringe, Prof I. Campbell
Applications accepted all year round
Breast screening using mammography has seen an increased detection of not only invasive breast cancer, but also pre-invasive lesions such as ductal carcinoma in situ (DCIS).
  Integrating low-cost Wireless Sensor Networks into hydrological risk governance for community-based disaster resilience building in developing countries
  Research Group: Climate change
  Prof D M Hannah, Prof N Cassidy
Application Deadline: 31 March 2019
According to the World Bank (2016), globally natural disasters force 26M people into poverty and cost US$520B in losses each year.
  Integrating low-cost Wireless Sensor Networks into hydrological risk governance for community-based disaster resilience building in developing countries
  Research Group: Climate change
  Prof D M Hannah, Prof N Cassidy
Application Deadline: 31 March 2019
According to the World Bank (2016), globally natural disasters force 26M people into poverty and cost US$520B in losses each year.
  Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round
Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.
  Integrating resilience into flood modelling - MScR in Global Environmental Challenges
  Dr M Pregnolato, Prof P Bates
Application Deadline: 1 August 2019
About the Project. Flooding is the most widely distributed of all natural hazards with floods from rivers, estuaries and the sea threatening many millions of people worldwide.
  Providing better risk stratification power with echocardiographic pressure mapping
  Dr P Lamata
Applications accepted all year round
First Supervisor. Dr Pablo Lamata. Second Supervisor. Dr Ronak Rajani. Some cardiac conditions cause an obstruction to the blood flow, and thus an extra burden to our heart.
  Statistical and machine learning approaches to risk prediction: Development, comparison and application of multi-state survival methods to modelling complex disease trajectories
  Dr M Crowther, Dr M Sweeting
Application Deadline: 3 April 2019
Multi-state survival models allow rich insights into complex disease pathways, where a patient may experience many non-fatal/intermediate events, and we wish to the investigate covariate effects for each specific transition between two states, not just for example, on the first event, or a terminal event [1].
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