The Department of Genetics is seeking to appoint a postdoctoral Research Associate to start as soon as possible to work with Professor Richard Durbin on the computational genetic analysis of ancient environmental DNA (aeDNA).
This post will contribute to the Ancient Environmental Genomics Initiative for Sustainability (AEGIS) international consortium project funded by the Novo- Nordisk Foundation and the Wellcome Trust https: // globe.ku.dk/research/ancient-environmental-genomics-initiative-for- sustainability/.
In this project a very wide range of ancient sediment DNA samples from a mixture of agricultural and extreme environments will be sequenced. The resulting aeDNA data will be analysed to help understand genetic and ecological responses to climate change, so as to inform development of more robust agro-ecosystems for the future. The work will involve computational genomics methods development and analysis of large scale but extremely low coverage ancient metagenome data. Specifically, goals include:
The position involves collaborations with University of Copenhagen (Eske Willerslev and colleagues), University of California Berkeley (Rasmus Nielsen group), Wellcome Sanger Institute (Tree of Life programme) and Pasteur Institute (Rayan Chikhi group), among other AEGIS institutions and researchers. Why join us? The position offers the opportunity to advance the genetic study of the past based on new leading-edge data sets, and to contribute to a rising scientific paradigm. You will work with a world-leading team of scientists in a stimulating and supportive environment, with access to state-of-the-art data sets and resources, to address major research questions.
Fixed-term: The funds for this post are available until 30 September 2026 in the first instance.
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For informal enquiries about the role please contact Professor Richard Durbin [email protected]
Please quote reference PC44565 on your application and in any correspondence about this vacancy.
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Further informationDepartment of Genetics
Salary£36,924-£45,163
ReferencePC44565
CategoryResearch
Published20 December 2024
Closing date12 January 2025