Postdoctoral researcher in bioinformatics analysis of horse paleogenomics data – CNRS, France

Project Info

According to the goals of the HorsePower project, the candidate’s research project must provide new insights into the history of horse domestication during the Bronze and Iron Ages, as well as the horse’s multiple roles in the rise of great powers in what is now Mongolia and China. Horse genome analysis will be the primary method used to document breeding techniques, historical variations, and geographical specifics, as well as to determine the origin, parentage, and favoured phenotypes of the species.

Most of the candidate’s time will be spent doing their research topic inside the global collaborative framework created by the ERC HorsePower project. He. She will do the computational analyses required for the project to move forward, encompassing several hundred ancient horses’ worth of genetic data that have already been collected (which will be augmented by further data presently being created). Additionally, many hundred contemporary equines’ genomes will be available for comparison.

Skills Required

The applicant has effectively finished their doctoral studies in evolutionary genomics. The applicant is proficient in one or more computer languages and has the ability to use state-of-the-art techniques for identifying molecular signs of selection and characterising population structure. The applicant possesses a strong background in the study of ancient DNA, specifically in the bioinformatics analysis of data generated by high-throughput sequencing methods used for genome sequencing and ancient DNA characterisation. finished. The applicant has the highest productivity in science. The candidate’s written and spoken English are flawless.

The applicant has a strong background in international job experience. It is essential to understand the molecular technology used to produce ancient DNA data as well as the constraints inherent in this kind of data. Knowledge and expertise in the domestication and development of the equine family will be deemed advantageous.

Application Requirements

Please include a cover letter, your full resume with publications included, and the names of up to three referees with your application. Candidates will present their history and research via an online interview as part of the recruiting process. They will also answer questions about their talents, expectations in science and the workplace, and other general project-related topics.

Application and Deadline

Deadline: 27 June 2024

For more information and application, visit the official website

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