PhD: Deep learning based analysis of DNA replication in primary mammalian cells

в Dr. Sara Buonomo’s lab
Город Edinburgh, Scotland, United Kingdom
Опубликовано 01.11.2018
Категория Биоинформатика
Тип вакансии PhD или аспирант


PhD Studentship in cell biology supported by The Darwin Trust of Edinbugh in Dr Sara
Buonomo’s lab.
Deep learning based analysis of DNA replication in primary mammalian cells
This ground-breaking research project aims to develop deep learning (and machine learning)
techniques to the study of the temporal and spatial control of DNA replication in mouse
embryonic stem cells. The goal is to design deep learning algorithms that can learn from
large amounts of images to classify them ACCURATELY and EXPLAINABLY.
DNA replication is the fundamental process that allows transmission of the genetic
information from mother to daughter cell. Monitoring different stages of DNA replication is
essential to detect issues in embryonic development. One of the least understood aspects of
the control of DNA replication is the temporal and spatial organisation of the activation of
the origins of replication, the genomic regions where DNA replication starts due to the slow
and manual classification techniques for microscopy images. The focus of this project is to
design machine learning algorithms that can automatically learn to classify various patterns
in DNA replication and to generate visual explanations to support these predictions. The
student will collaborate with the leading biology and machine learning experts during the
PhD study. The student will be supported to gain sufficient laboratory skills and knowledge
related biological systems, and theoretical/practical expertise in machine learning.


•Final year bioinformatics/math student or recent graduate
• High motivation for scientific research
• Excellent academic performance (GPA > 8.5/10)
• Knowledge of English – upper-intermediate or higher
• Deep learning experience is highly beneficial


• Young international research group
• Dynamic scientific environment at one of the best UK universities
• 4 years funding with a generous stipend of £15,000 per annum
• Additional travel funds through the last year of the program


Further information about the lab can be found at and
informal enquiries are welcome to

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