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Fully Funded PhD Studentship · January 2027 or earlier

Developing Fair and Robust Cancer Risk Prediction Models Using Health Data

University of Cambridge

A fully funded Home-fee PhD developing equitable cancer-risk prediction models using linked health records, missing-data methods and simulation.

Destination
United Kingdom
Study level
Doctoral, Doctoral
Deadline
Oct 1, 2026
Evidence incomplete

Source visited 7 Aug 2026 (UTC). A source visit does not verify every fact or confirm that applications are still open.

  • Reviewed evidence is not available for: deadline, funding, eligibility, application link.
  • Record limitations: source evidence.
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Historical opportunity — applications are closedThis page preserves the verified details of a past cycle. Do not use its deadline or application link as a current call for applications.
Funding package

Recorded funding details

Home tuition fees covered.
£20,780 tax-free per year at the stated UKRI 2026 rate.
Number available: 1

An amount is recorded above, but its purpose is not clear. An amount alone does not establish a living stipend, tuition coverage or any other benefit.

Not established in this record

  • Mandatory fees
  • Living stipend
  • Accommodation
  • Health insurance
  • Travel

The captured funding wording does not establish support for these costs. This does not mean they are excluded. Check the full package on the official source before budgeting.

Eligibility

Who can apply

  • Relevant quantitative, biomedical or laboratory research experience is beneficial. Exact essential experience varies by project.
  • First-class or upper second-class degree or equivalent in statistics, mathematics, computer science, engineering, data science or a related biomedical or population-health field.
  • Applicants eligible for Home tuition fees.
  • See programme-specific entry requirements. Where stated, first-class or upper second-class degree or equivalent.
  • Strong analytical and programming skills, including R or Python. Experience with statistical modelling, machine learning or health data is relevant.
  • Applicants must meet University of Cambridge English-language requirements where applicable.
Application package

Documents and steps

Required documents

  1. Two academic referees, transcripts, CV, English-language evidence where applicable and a statement of interest.

Application steps

  1. Review the official studentship vacancy

  2. Open the named Cambridge course application page

  3. Create a postgraduate applicant account

  4. Quote the vacancy reference and identify the project

  5. Upload all course and studentship documents

  6. Ensure referees submit by the applicable deadline

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Developing Fair and Robust Cancer Risk… Models Using Health Data