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Matthew Sperrin

Top university

4 months ago

PhD in Fairness-Aware Cancer Data-Driven Detection at University of Manchester University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD position is funded for UK students. No further details on stipend amount or tuition coverage are provided.

Deadline

Expired

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Biostatistics
Mathematics
Health Science
Risk Stratification
Cancer Diagnosis
Statistic
Machine learning

About this position

A funded PhD opportunity is available at the University of Manchester as part of the CRUK Cancer Data-Driven Detection Programme. The project aims to develop, validate, and evaluate fairness-aware methods for cancer risk stratification, with a focus on ensuring equitable outcomes for diverse patient populations. The successful candidate will join a multidisciplinary supervisory team including Matthew Sperrin (Manchester), Sian Bladon (Manchester), Angela Wood (Cambridge), and Gary Abel (Exeter), as well as others across the CD3 network.

The student will be based in a vibrant research group in Manchester with interests in causality and prediction. Applicants should have a strong background in mathematics, statistics, computer science, or machine learning.

The position is funded for UK students, but specific details on stipend or tuition are not provided. The application deadline is 3 December 2025, with a start date in September/October 2026. For more information and to apply, visit the provided link.

Funding details

The PhD position is funded for UK students. No further details on stipend amount or tuition coverage are provided.

What's required

Applicants should have a strong background in mathematics, statistics, computer science, or machine learning. No specific degree class, GPA, or language requirements are mentioned, but a quantitative background is essential. The project is suitable for UK students.

How to apply

Visit the provided link for further details and application instructions. Prepare your application materials and submit before the deadline. Ensure you meet the background requirements in maths, statistics, or computer science.

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