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Statistics PhD Projects, Programs & Scholarships in Edinburgh

We have 7 Statistics PhD Projects, Programs & Scholarships in Edinburgh

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Showing 1 to 7 of 7
  Understanding impacts of environment-related payments on farm level production and economy through integrated spatial modelling
  Dr S Shrestha
Application Deadline: 3 March 2019
In the last few decades, farmers have made changes to their farming strategies to accommodate incentives for environmental protection measures.
  A statistical "toolkit" for cropping systems research: quantifying the importance of rotations
  Dr C Watson
Application Deadline: 3 March 2019
Crop rotations have been at the centre of agricultural systems throughout history. In modern agriculture, the main purpose of rotating crops is to reduce the incidence of diseases, pests or weeds that are difficult to control with pesticides.
  Machine learning for hyperspectral computed tomography
  Dr N Polydorides
Application Deadline: 28 February 2019
Spectral/hyperspectral tomography aims to improve standard Computed Tomography by taking advantage of additional information in the form of energy-resolved measurements.
  Computational Imaging: Improving the Acquisition and Processing of Single-Photon Data
  Dr AH Halimi, Prof S McLaughlin
Applications accepted all year round
Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.
  Data sketching in engineering sensor networks
  Dr N Polydorides
Application Deadline: 31 March 2019
When analysing data at scale, accurate solutions become computationally cumbersome demanding substantial memory and processing power.
  Towards sustainable infrastructure materials: predictive physico-chemical modelling of concrete degradation
  Dr R Myers
Application Deadline: 1 March 2019
The Industrial Ecology Team at the University of Edinburgh is seeking an outstanding PhD candidate to develop a new method that can predict the material and environmental performance of concrete infrastructure in service.
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