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University of Edinburgh

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PhD Studentship in Molecular Biology and Computational Modelling of DNA Structures University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Molecular Biology
Biology
Mathematics
Computational Modelling

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About this position

PhD studentship opportunity in molecular biology and computational modelling at the University of Edinburgh. The project is a CASE EastBio PhD studentship, meaning it is carried out in collaboration with an industrial partner.

The research aims to engineer topologically complex DNA structures inspired by the unusual mitochondrial DNA network of trypanosomatid parasites. This is a strong fit for applicants interested in DNA biology, molecular systems, parasite biology, and quantitative/computational approaches to biological problems.

Eligibility highlights: applicants should be able to work at the intersection of molecular biology and computational modelling, and a strong background in both biology and maths is essential. Funding is restricted to UK/Home-fees students, typically British or Irish citizens, or those with Indefinite Leave to Remain or EU Settled Status in the UK.

Funding: this is a funded PhD studentship; the post does not specify the stipend amount or full financial package in the text provided.

Deadline: July 31, 2026, with a planned start date in October 2026.

Interested candidates should contact Achim Schnaufer at [email protected] and review the attached PDF for full details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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