Quantitative Trait Loci Postdoctoral Researcher
Há 2 dias
Scientific Research Opportunity at Ecoles Pratique des Hautes Etudes - PSL
We are seeking a highly skilled and motivated postdoctoral researcher to join our team at the Institute for Systematics, Evolution, Biodiversity (ISYEB) located within the Muséum National d'Histoire Naturelle in Paris. The successful candidate will have the opportunity to work on a 2-year project focused on developing new methods to study the genetic architecture of complex traits.
About the Project
The project aims to develop a new statistical method to infer the distribution of effect sizes of Quantitative Trait Loci (QTL). QTL play a crucial role in shaping the genetic architecture of complex traits, and understanding their distribution is essential for inferring evolutionary dynamics. Current methods assume that all QTL are a subset of genetic markers available in the genome, but this assumption may not hold true. The goal of this project is to develop a novel approach that distinguishes between markers and QTL, enabling more accurate inference of QTL distribution from an evolutionary perspective.
Responsibilities
- Develop a statistical method to infer the distribution of effect sizes of QTL using phenotypic and genomic data.
- Test the performance of the method compared to existing state-of-the-art methods using simulated data.
- Empirically test the relevance of the new method by re-analysing a published dataset.
About Us
Ecoles Pratique des Hautes Etudes - PSL is a leading research institution with a strong focus on biological sciences and biodiversity. Our team at ISYEB is committed to advancing our understanding of the genetics of adaptation and the interaction between genotype, phenotype, and environment in driving evolution in wild populations.
Your Background
To be successful in this role, you will have a PhD or equivalent in statistical genetics, genomics, bioinformatics, or a related field. You will have a track record of research activity and academic output, with demonstrated ability to work as part of a scientific team. Experience in statistical genetics and/or statistical development is essential, as well as technical skills in a programming language and a data analysis language. A good level of English is required.
Salary: €45,000 - €55,000 per annum
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