Published: 21 Dec 2021 1,216 views
Imaging flow cytometry offers the opportunity to image millions of cells in a short period of time, it offers the possibility of being a transformative technology in the diagnosis of a host of diseases. This project will use the latest algorithms in AI to analyse the large big datasets generated using this system from a host of clinical collaborations.
Specifically we will build on, Deepometry, an open-source workflow developed with the objective of applying deep learning algorithms to the analysis of cytometry data which was developed in collaboration with GSK and the Broad Institute of MIT and Harvard.‘Deepometry 2’ aims to develop our current software for use on both 2D and 3D images and to use the technology to image tissue from patient samples. This project will involve software development and the application of this deep learning tool to a number of exciting datasets.
The project will be in conjunction with researchers GSK, Philadelphia, US and Stevenage, UK who will provide financial assistance for the applicant to spend time at GSK and work on key research problems.
Swansea University has been at the cutting edge of research and innovation since 1920. We have a long history of working with business and industry but today our world-class research has a much wider impact across the health, wealth, culture, and well-being of our society. We have achieved an extraordinary level of success in recent years and our research activity exceeds that of many larger universities yet this has not compromised the friendly and relaxed atmosphere that has always characterised the �Swansea experience�. In our Centenary year, we look forward to continuing to work ... continue reading
Application Deadline | 01 Jan 1970 |
Country to study | United Kingdom |
School to study | Swansea University |
Type | PhD |
Course to study | View courses |
Sponsor | Swansea University |
Gender | Men and Women |
This scholarship covers the full cost of UK tuition fees and an annual stipend of £15,609.
Additional research expenses will also be available.
Candidates must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University) in Engineering or similar relevant science discipline including medical engineering and computer science.
English Language requirements: If applicable - IELTS 6.5 Overall (5.5+ each comp.) or Swansea University recognised equivalent.
To apply, please complete your application online with the following information:
*Please note that applications received without the above information may not be considered.
As part of your online application, you MUST upload the following documents (please do not send these via email):