Phd Student In Evoluationary Genomics

Universities and Institutes of France

France

September 24, 2021

Description

  • Organisation/Company: Universite de Montpellier
  • Research Field: Biological sciences Medical sciences
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 24/09/2021 23:00 - Europe/Brussels
  • Location: France › Montpellier
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 38
  • Offer Starting Date: 01/10/2021
  • Eu Research Framework Programme: H2020
  • Reference Number: 2021-R0423
  • - Work environment:

    This thesis is funded by the ANR NeGA project "Influence of effective population size (Ne) on animal genome architecture" coordinated by Tristan Lefébure of the LEHNA laboratory and in collaboration with the LBBE laboratory in Lyon and the ISEM laboratory in Montpellier. The direction of this thesis will be carried by Annabelle Haudry (scientific coordinator of the project for LBBE and specialist of the biological model Drosophila), Anna-Sophie Fiston-Lavier (member of ISEM and specialist of TEs) and Benoit Nabholz (scientific coordinator of the project for ISEM and specialist of the biological model birds). The PhD student, based in Montpellier, will interact with all the partners of the project, and will travel regularly to Lyon.

    - Main mission :

    The main goal of the phD project will be to evaluate the influence of Ne (and other relevant parameters such as the recombination and indel rates) on the evolution of genome size and proportion of non-coding DNA as well as the associated dynamics of TE.

    - Activities :

  • Generate genomic resources for these groups : genome assembly combining Minion long-reads (long but costly and error-prone) and Illumina short- reads (short by cheap and accurate) technologies.

  • Transposable element (TE) annotation for the reference genomes

  • Estimation of polymorphism pattern of SNP and TE

  • Assessment of the impact of TEs on genome size

  • Effective population size (Ne) estimation

  • Assessing the fitness of TE dynamics using polymorphism data

  • Historical Ne reconstruction based on interspecific divergence/rate of evolution using a Bayesian method developed by a member of the project

  • Eligibility criteria

    Student in PhD

    Selection process

    Send you CV and your cover letter to Banoît NABHOLZ to his email box : benoit.nabholz@umontpellier.fr

    Offer Requirements Skills/Qualifications

    The candidate should have a background in evolutionary biology, particularly in population genetics. An interest in bioinformatics

    (programming, sequencing data analysis) is expected. A good knowledge in statistics is also necessary.

    Contact Information
  • Organisation/Company: Universite de Montpellier
  • Department: Human Resources
  • Organisation Type: Higher Education Institute
  • Website: https:// www. umontpellier.fr/
  • E-Mail: benoit.nabholz@umontpellier.fr
  • Country: France
  • City: Montpellier
  • Postal Code: 34000
  • Street: 163 rue Auguste Broussonnet
  • Phone: 0033467143236
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