Location: | Guildford |
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Salary: | £37,174 to £39,355 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 20th March 2025 |
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Closes: | 30th April 2025 |
Job Ref: | 017125 |
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.
We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.
The role
We are seeking a Postdoctoral Research Fellow for a (up-to) 3-year position to work on an exciting project funded by the Medical Research Council and led by Dr Bingxin Lu.
This project aims to reconstruct the evolutionary dynamics of chromosomal instability in cancer genomes. Understanding how chromosomal instability evolves during the progression from precancerous lesions to malignancy, metastasis, and treatment resistance is important for cancer detection and treatment. Building upon our previously published method, CNETML (https://doi.org/10.1186/s13059-023-02983-0), this project will develop more realistic evolutionary models of copy number alterations and better phylogenetic inference methods with wider applicability. The developed methods will then be applied to extensive publicly available datasets to investigate the dynamics of chromosomal instability. Our new methods will enhance the toolkit for cancer researchers and drive broader applications of cancer phylogenetic inference. The insights gained from the inferences will also support personalized therapy and advance public health efforts.
The successful candidate will not only design and conduct the research but also write and communicate results as scientific papers and in scientific presentations at national and international conferences.
About you
The successful candidate will have a strong research background and should have a PhD (or close to completion) in computational biology, bioinformatics, computer science, or related fields that include a substantial amount of computing and mathematical/statistical modelling, ideally related to phylogenetic method development. Working knowledge in genomics, evolutionary biology, cancer biology, or population genetics is desirable. Experience in programming is essential.
How to apply
Please submit your cover letter, CV, and contact of three references with your application on the University of Surrey Website.
For informal inquiries, please contact Dr Bingxin Lu b.lu@surrey.ac.uk.
The University of Surrey reserves the right to close this vacancy early based on Volume and Calibre of applications.
Further details
We can offer a generous remuneration package, which includes relocation assistance where appropriate, an attractive research environment, the latest teaching facilities, and access to a variety of staff development opportunities.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
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