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PhD Fellowship in Digital Twin Models for Cardiovascular Medicine and Biomedical Engineering King's College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

PhD Fellowship through CDTnet Cardiovascular Digital Twin Network; the post indicates a fellowship opportunity but does not specify stipend, tuition coverage, or exact funding amount.

Deadline

Sep 30, 2026

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Country

United Kingdom

University

King's College London

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Keywords

Computer Science
Biomedical Engineering
Cardiology
Medical Imaging
Biology
Artificial Intelligence
Precision Medicine
Medical Science
Digital Twin Technology
Computational Modelling
Statistics
Myocardial Function

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About this position

PhD opportunity at King's College London in the School of Biomedical Engineering & Imaging Sciences through the CDTnet Cardiovascular Digital Twin Network.

The project, titled Digital Twin Models to Infer Anatomical and Functional Parameters at Scale, sits at the intersection of AI, computational modelling, biomedical engineering, and cardiovascular medicine. It will develop scalable methods to personalise cardiovascular digital twins using large imaging datasets, including UK Biobank, with the goal of building population-scale models of cardiac anatomy and function and advancing precision cardiovascular medicine.

This is a PhD fellowship within a unique European network spanning academia, hospitals, and industry. The post highlights a collaborative research environment and a clinically oriented project with strong relevance to digital health and translational medicine.

Eligibility highlights: interest in AI, computational modelling, and cardiovascular medicine. No further formal requirements are stated in the post.

Deadline: 30 September 2026.

How to apply: Read the full details via the information link, then submit your application using the apply-now link. The post emphasizes urgency, noting that only a few days remain.

Funding details

PhD Fellowship through CDTnet Cardiovascular Digital Twin Network; the post indicates a fellowship opportunity but does not specify stipend, tuition coverage, or exact funding amount.

What's required

Applicants should be interested in AI, computational modelling, and cardiovascular medicine. The post does not specify degree class, language tests, or other formal eligibility criteria.

How to apply

Review the full details link for the fellowship description, then submit the application through the provided apply-now link before the deadline. Apply as soon as possible because the post says only 3 days remain.

More information can be found here

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