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Ines Cebola

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4 days ago

PhD studentship in functional genomics of steatotic liver disease at Imperial College London Imperial College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

A 4-year fully funded PhD studentship funded through the UK Human Functional Genomics Doctoral Landscape Award (FGx-DLA), an MRC-backed national programme. Includes cohort training in functional genomics, statistics, bioinformatics, and AI.

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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Biomedical Engineering
Biology
Artificial Intelligence
Computational Biology
Functional Genomics
Medical Science
Genomic
Statistics
Bioinformatic

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About this position

PhD opportunity in the lab of Ines Cebola at Imperial College London in the United Kingdom.

The project is titled “From genetic risk to disease mechanism: functional genomics of steatotic (fatty) liver disease” and is a 4-year fully funded studentship. It uses human liver models, CRISPR functional genomics, and computational approaches to investigate what disease-associated noncoding variants do and how they contribute to disease.

This studentship is funded through the UK Human Functional Genomics Doctoral Landscape Award (FGx-DLA), an MRC-backed national programme spanning Imperial, Exeter, Cambridge, Edinburgh, King’s, and Oxford. The programme includes cohort training in functional genomics, statistics, bioinformatics, and AI.

The ideal candidate would have a background or strong interest in genomics, molecular biology, or computational biology, and be keen to combine both wet-lab and dry-lab work. This is a strong fit for students interested in disease mechanism, liver biology, CRISPR screening, and computational analysis of regulatory variation.

Applicants should follow the project link for the detailed application information. Questions are welcomed by the supervisor.

Funding details

A 4-year fully funded PhD studentship funded through the UK Human Functional Genomics Doctoral Landscape Award (FGx-DLA), an MRC-backed national programme. Includes cohort training in functional genomics, statistics, bioinformatics, and AI.

What's required

Applicants should have an interest or background in genomics, molecular biology, or computational biology. The project is suitable for someone who wants to combine wet-lab and dry-lab work.

How to apply

Open the project link and follow the application instructions for the studentship. Contact Ines Cebola with questions if needed and mention the advertised PhD project.

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United Kingdom

Research Interests

Artificial Intelligence

Statistics

Biology

Genomic

Medical Science