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Bournemouth University, Faculty of Science & Technology PhD Projects, Programs & Scholarships

We have 6 Bournemouth University, Faculty of Science & Technology PhD Projects, Programs & Scholarships

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  AI based approaches for games design and development
  Dr F Tian
Application Deadline: 31 December 2019

Funding Type

PhD Type

The game environments, storylines, and character behaviours are carefully crafted, requiring graphics artists, storytellers, and software engineers to collaborate.
  Crowdsourcing reality: Using technology to combat the spread of misinformation
  Dr R Ali, Dr J McAlaney
Application Deadline: 31 October 2019

Funding Type

PhD Type

Misinformation in the form of fake news has become a characteristic of the 21st century, driven by technologies such as social media platforms that enable information to spread quickly.
  Fake news, culture and heuristics
  Dr J McAlaney
Application Deadline: 31 October 2019

Funding Type

PhD Type

Misinformation in the form of fake news has become a characteristic of the 21st century, driven by technologies such as social media platforms that enable information to spread quickly and to be targeted at individual beliefs, biases and emotions.
  PhD Studentship - Large Scale Dynamic SLAM System in Augmented Reality Applications
  Dr W Tang
Application Deadline: 31 October 2019

Funding Type

PhD Type

Augmented reality (AR) technology integrates our physical world with the virtual world, creating an enhanced environment for users.
  Repurposing an API for oil drilling simulation software
  Dr C gatzidis, Dr W Tang
Application Deadline: 31 October 2019

Funding Type

PhD Type

This project is to be carried out in collaboration and with the support of a Bournemouth-based company called Drilling Systems (https://www.drillingsystems.com/).
  Soft tissue registration for Augmented Reality in Minimally Invasive surgery
  Dr W Tang
Application Deadline: 31 October 2019

Funding Type

PhD Type

This project will develop novel registration algorithms for challenge AR applications, where large scenes are the most difficult to capture and hard to reconstruct in real-time.
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