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Geography (statistics) PhD Projects, Programs & Scholarships

We have 6 Geography (statistics) PhD Projects, Programs & Scholarships

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  Scholarships available for SECReT: The International Training Centre for Security and Crime Related Research Degrees

Funding Type

PhD Type

SECReT. The International Training Centre for Security and Crime Related Research Degrees View All CDTs UCL SECReT SECReT.
  EPSRC Centre for Doctoral Training in Geospatial Systems - 4 year PhD Studentships

Funding Type

PhD Type

 The EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems invites high-quality applications for up to 9 fully funded 4-year PhDs at Newcastle University and University of Nottingham.
  Automatic detection of corporate third-parties operating online using digital methods
  Dr K A Evans-Reeves, Dr A Joshi, Dr T S Fincham Haines
Application Deadline: 24 July 2019

Funding Type

PhD Type

The tobacco industry is the biggest barrier to the implementation of effective tobacco control policies. Given their long history of deceit, tobacco companies are not considered trustworthy by many, particularly in countries which have implemented strong tobacco control regulations.
  New four year PhD opportunities for September 2019

Funding Type

PhD Type

The Creating Our Lives in Data programme, aims to establish technologies and methods to enable producers and consumers in the Digital Economy to co-create smarter products in smarter ways, to re-establish trust in the use of personal data.
  EPSRC Centre for Doctoral Training in Geospatial Systems - 4 year PhD Studentships

Funding Type

PhD Type

 The EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems invites high-quality applications for up to 9 fully funded 4-year PhDs at Newcastle University and University of Nottingham.
  Information extraction from large point cloud datasets
  Dr L Fan, Dr C Zhang
Applications accepted all year round

Funding Type

PhD Type

This project aims to develop new/improved data analytic methods for information (e.g. key data points, features) extraction from large-scale point cloud datasets to support some typical applications such as data simplification, object recognition, classification and 3D reconstruction in built environment.
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