PhD Studentship: Advancing Bayesian machine learning methods for precision medicine applications in Type 2 diabetes
University of Exeter
The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training and support costs, and are available to UK and International students. This project is in competition for place with the projects across the MRC GW4 BioMed3 Doctoral Landscape Award studentships. There are a total of 18...
The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training and support costs, and are available to UK and International students. This project is in competition for place with the projects across the MRC GW4 BioMed3 Doctoral Landscape Award studentships. There are a total of 18...
Opportunity details
The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training and support costs, and are available to UK and International students. This project is in competition for place with the projects across the MRC GW4 BioMed3 Doctoral Landscape Award studentships. There are a total of 18 studentships available across the partnership. It is well-known that the efficacy of treatments for a specific disease or condition can vary across individuals, so that in settings where multiple treatment options are available, different individuals may require different treatments to obtain the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical and machine learning methodology to help deal with key challenges in developing such models in large-scale observational electronic healthcare record data. These models will be applied to important real-world applications in diabetes treatment selection. These studentships are funded through GW4 BioMed3 MRC Doctoral Landscape Programme and consist of UK tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£21, 805 p.a. for 2026/27, updated each year). Additional research training and support funding of up to £5,000 per annum is also available.
Eligibility and requirements: Review the official provider page for the current applicant conditions and required documents.
Funding and benefits
Funding eligibility: UK Students, EU Students, International Students. Funding amount: £21,805 Stipend matching UK Research Council National Minimum (£21,805 per annum updated each year) plus UK/Home tuition fees.
How to apply
These models will be applied to important real-world applications in diabetes treatment selection.
Open the official application information
Verify the deadline and final conditions on the official provider page before submitting an application.
Source and verification
Check the current official call before applying
Recorded source check: September 14, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.
Benefits
Funding eligibility: UK Students, EU Students, International Students. Funding amount: £21,805 Stipend matching UK Research Council National Minimum (£21,805 per annum updated each year) plus UK/Home tuition fees.
Eligibility summary
Requirements
Documents required
Language/test requirements
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