Organisation/Company: Ecoles Pratique des Hautes Etudes - PSL
Research Field: Biological sciences » Biodiversity
Researcher Profile: Recognised Researcher (R2) / Established Researcher (R3)
Country: France
Application Deadline: 14 May 2025 - 22:00 (Europe/Paris)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 16 Sep 2024
Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC
Reference Number: 101114976
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
We offer a 2-year position as a post-doctoral fellow to improve our ability to study the genetic architecture of complex traits, by developing a new method to study the distribution of the effect sizes of Quantitative Trait Loci (QTL). The job will be mostly computational, based on statistical modelling and development, as well as assessing the performance of the method using simulated data. The candidate will work for the École Pratique des Hautes Études (PSL University), joining Pierre de Villemereuil's team at the Institute for Systematics, Evolution, Biodiversity (ISYEB), located within the Muséum National d'Histoire Naturelle (MNHN) in Paris. This position is funded as part of the EvoGenArch ERC Starting Grant. The position starts on 2024-09-16.
Scientific Context
Most traits of ecological and evolutionary relevance are complex traits, influenced by a large number of loci (QTL) in the genomes. The features of the QTL are often referred to as the genetic architecture of the trait. One of the most important collective features to characterise such architecture is the distribution of the effect sizes of QTL. Current methods allowing for the study of such distribution make the same core assumption: all QTL are a subset of the genetic markers available in the genome. However, QTL should come in various genetic variants. This distinction between markers and QTL is important for inferring the distribution of effect sizes from an evolutionary perspective. The aim of this post-doctoral project is to develop new methods focused on the inference of the distribution of QTL.
Responsibilities
Develop the statistical method to infer the distribution of the effect sizes of QTL, using phenotypic and genomic data on a set of individuals.
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.
Pierre de Villemereuil's research focuses on the genetics of adaptation, trying to understand how the levels of the genotype, phenotype, and environment interact to drive evolution in wild populations.
Where to Apply
E-mail: ******
Requirements
Education Level: PhD or equivalent in statistical genetics, genomics, bioinformatics, or related fields.
Skills/Qualifications:
Track record of research activity and academic output (publications, conference communications, etc.).
Demonstrated ability to work as part of a scientific team.
Experience in and interest for statistical genetics and/or statistical development.
Technical skills in a programming language, preferably compiled, as well as a data analysis language (R/Python/Julia).
Background in basic quantitative genetics is highly appreciated.
Languages: Good level of English.
Additional Information
Selection Process: Please send (1) a CV/résumé; (2) a short (max. 2 pages) letter of application highlighting past research experience and accomplishment; and (3) a letter of recommendation or contact details of past supervisors to the address provided. Selected candidates will be auditioned by a committee starting from May 15th.
Work Location(s)
Company/Institute: Institute for Systematics, Evolution, Biodiversity (ISYEB UMR 7205), Muséum National d'Histoire Naturelle
Country: France
City: Paris
Postal Code: 75005
Street: 12, rue Buffon
#J-18808-Ljbffr