Phd Studentship
3 weeks ago
**Ref Number**
B04-03683
**Professional Expertise**
Research and Research Support
**Department**
UCL BEAMS (B04)
**Location**
London
**Working Pattern**
Full time
**Salary**
See advert text
**Contract Type**
Fixed-term
**Working Type**
Hybrid (20% - 80% on site)
**Available For Secondment**
No
**Closing Date**
02-Jun-2023
**About us**:
**Primary supervisor : Dr Ben Hall**
Funding will be at least the UCL minimum. Stipend details can be found here. Funding will include Home Fees, some funds for Research Training and the UCL Minimum stipend (£20, 198 rising each year with inflation).
**About the role**:
**Project Background**
As the body ages, cells endure a diverse range of challenges. Unmutated cells compete neutrally in epithelial tissues, causing stochastic clone loss and expansion over time. Over time cells accrue mutations, altering the cell phenotype. These mutations may arise from exposure to external mutagens, or through intrinsic processes of the cell. Mutant cells may gain new properties, or their fitness may change, driving clonal expansion or loss from the tissue. This leads to an evolutionary process within normal tissues of the body, with a heterogeneous population of mutant cells undergoing constant competitive selection. These mutated cells are not themselves cancerous, but may eventually lead to the development of tumours.
Understanding how the tissue remains robust, and how mutations transform the tissue in carcinogenesis will enable us to identify the fundamental forces that enable and prevent cancer, and support the future development of approaches to better stratify and treat patients. In this PhD project you will use different computational techniques, ranging from developing network models of gene interactions to simulations of cells in the tissue to understand rich experimental datasets shared by collaborators. In this you will develop computational models using a range of different abstractions, and work with a mixture of sequencing data and imaging measurements of clonal interaction and competition.
**Research Aims**
- Analyse and compare missense mutations extracted from different tissues in healthy individuals.
- Develop comparative network models to understand the mutations that enable clonal expansion in healthy tissue.
- Compare patterns of selection between healthy and tumour samples.
**About you**:
**Person specification & requirements**
This project is suitable for life scientists with some experience in coding or mathematics, or physical/mathematical scientists with evidenced interest in collaboration and or interdisciplinary work. Experience in working in teams is also useful.
UCL’s fee eligibility criteria can a be found by following this link.
**Application Deadline: 2nd June 2023**
**How to apply**:
**Please complete the following steps to apply.
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