About the Project
In recent years, new technologies have helped us to collect large datasets, describing individual processes more comprehensively than in the past. However, a functional nucleus does not emerge from millions of single processes, but from their integration. In this ambitious project we will start attempting the computational integration of a large-scale data-set acquired by the Buonomo lab  for mouse embryonic stem cells, to incorporate DNA replication timing (Repli-seq) and gene expression data (RNA-seq) into the three-dimensional organisation of chromatin described through HiC data. The ultimate goal is to build an integrated mathematical model of a working eukaryotic nucleus. The project will be jointly supervised by Dr Buonomo and Professor Grima who have extensive expertise covering all aspects of the experimental and computational methodology.
We are looking for an enthusiastic, flexible and hard-working candidate driven by curiosity and passion for science. A strong background in computer science, applied mathematics, informatics or physics is preferred, but a deep interest in the biological world is essential.
The School of Biological Sciences is committed to Equality & Diversity: https://www.ed.ac.uk/biology/equality-and-diversity
How to Apply:
The “Institution Website” button will take you to our Online Application checklist. Complete each step and download the checklist which will provide a list of funding options and guide you through the application process.
 Smith, Stephen, Claudia Cianci, and Ramon Grima. "Macromolecular crowding directs the motion of small molecules inside cells." Journal of the Royal Society Interface 14.131 (2017): 20170047.
 Foti, Rossana, et al. "Nuclear architecture organized by Rif1 underpins the replication-timing program." Molecular cell 61.2 (2016): 260-273.
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