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DTC CS 6 - Data Mining and Predictive Data Analytics

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

The Swansea Vision group (csvision.swan.ac.uk) has been working very closely with collaborator in health and social sciences. This project aims to develop robust and efficient analytical predictive tools using advanced data mining and machine learning. The student will join a team of researchers with extensive experience in deep learning and data mining and work closely with our collaborators, such as Swansea Health Data Science and Cardiff University Brain Imaging Research Centre.

Entry requirements

Candidates must have a minimum of an upper second class honours degree or equivalent in a relevant subject, or an appropriate Master’s degree (with Merit). Informal enquiries are welcome by emailing the project supervisor.

For candidates whose first language is not English, we require IELTS 6.5 (with 6.0 in each component) or equivalent. Please visit our website for a list of acceptable English language tests. We prefer candidates to have already met the English Language requirements at the point of application, although this is not a requirement.

How to apply

Visit our webpage for details - http://www.swansea.ac.uk/science/research/dtc/biosciences-projects-2018-19/

Please include the project ID and title in your email subject header (eg. DTC CS xxxxxx)

Funding Notes

Student Finance England have announced plans to offer student loans for PhD level courses from September 2018 for courses at any PhD awarding university (including Swansea University). Full details are still to be confirmed. Visit our website for updated information. – View Website

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