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University of Liverpool Data Analysis PhD Projects, Programs & Scholarships

We have 27 University of Liverpool Data Analysis PhD Projects, Programs & Scholarships

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  PhD Opportunities in fusion
Fusion has the potential to meet our energy needs in a sustainable way, with minimum impact on the environment.
  Computational Efficiency and Better Understanding of River Deltas Using Lattice Botlzmann Method
  Dr N Leonardi
Application Deadline: 1 April 2019
River deltas are home to half a billion of people, are among the most productive ecosystem on earth, and constitute the main food source for many nations.
  New Mathematical Models for Longitudinal Perfusion-weighted Imaging Study of Lesion In Stroke
  Prof K Chen
Application Deadline: 1 January 2019
Conventional computed tomogramphy (CT) and magnetic resonance (MR) imaging are not sufficiently sensitive to evaluate acute stroke.
  Reducing the burden of non-communicable diseases: which interventions are more effective and equitable?
  Dr M. O'Flaherty, Dr C Kypridermos
Application Deadline: 23 January 2019
Background. Our research group researches the impact of a wide range of population level preventative policies (such as pricing and taxation policies for foods, tobacco and alcohol; regulation to restrict unhealthy products) on non-communicable diseases, such as cardiovascular disease, respiratory diseases and cancer.
  The equity impact of changing spatial distribution of resources for population health and inequalities
  Dr B Barr, Prof D Taylor-Robinson
Application Deadline: 23 January 2019
Background. There are large difference in health between richer and poorer areas in the UK. People are 20% more likely to die under the age of 75 in the North, compared to the South of England.
  Advanced Microscopy Image Analysis for Life Science Applications
  Dr Y Zheng
Applications accepted all year round
Microscope imaging plays an ever-increasing role in life science research. A large number of images can be continuously generated by various different devices (light microscopy, fluorescence microscopy, electron microscopy, and light-sheet microscopy).
  Analysing ECG with deep learning: human supervised analysis versus A.I. (Artificial Intelligence)
  Dr R Barrett-Jolley, Dr C Dart
Applications accepted all year round
This is a unique and exciting opportunity to learn new skills in artificial intelligence and ageing biology. You will combine patch-clamp electrophysiology with cutting edge machine learning to predict and understand how cells in the heart age.
  Developing and applying computational methods to understand the genetics of ageing
  Dr JP de Magalhaes
Applications accepted all year round
Ageing is the chief biomedical challenge of the 21st century, yet it remains a major puzzle of biology. Although it is clear that the process of ageing has a strong genetic component, much work remains to elucidate how the genome regulates ageing.
  Development of Advanced Methods for Biological Signal Analysis
  Dr Y Zheng
Applications accepted all year round
Biological signals (e.g. blood pressure, intraocular pressure, heart beat, ERG, EEG, and ECG) play an ever-increasing role in our daily life.
  Development of Novel Imaging Technologies for Eye Disease
  Dr Y Zheng
Applications accepted all year round
Imaging techniques (e.g. optical, PET, MRI, CT, X-rays) play an ever-increasing role in healthcare. A large amount of imaging, clinical and demographic data in particular has been continuously generated in healthcare.
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