Research Topic:
We are offering a PhD position focused on the study of congenital myopathies, a group of rare genetic diseases currently without treatment. The project aims to unravel the molecular pathways essential for normal skeletal muscle maturation and those altered in congenital myopathies. Using advanced multi-omics approaches (single nuclei and bulk transcriptomics, proteomics, lipidomics, metabolomics), the PhD student will analyze data from various disease models, both untreated and treated with pre-clinical therapies. The goal is to identify molecular signatures related to the disease and treatment, and to integrate these findings with quantitative imaging, histology, and phenotyping through informatics pipelines and artificial intelligence for big data analysis.
Responsibilities:
- Analyzing and integrating multi-omics data.
- Combining data with quantitative imaging and histology for a comprehensive understanding of the pathologies.
- Using AI and informatic tools for big data analysis and creating multi-layered networks.
- Collaborating with the team to validate findings through techniques such as western blotting, quantitative PCR, ELISA assays, and metabolite dosing.
- Developing state-of-the-art methodologies for big data integration, applicable to other diseases.
Offer:
- A fully funded 3-year PhD position.
- Start date: September-November 2024.
Candidate Profile:
- Highly motivated and talented student with expertise in Bioinformatics or Informatics.
- Strong interest in human disease research.
- Proficiency in English, the communication language within the team.
Location:
The IGBMC institute is one of Europe’s leading centers for Biomedical research, equipped with 15 cutting-edge core facilities. Located in Strasbourg, a dynamic and international city near Germany and Switzerland, IGBMC hosts over 45 independent research groups working on a variety of topics.
How to Apply:
Send a PDF file with your CV and contact details for at least two referees to Jocelyn Laporte at jocelyn@igbmc.fr.
References:
- Djeddi et al. Mol Ther. 2021. doi: 10.1016/j.ymthe.2021.04.033
- Gineste et al. Brain 2023. doi: 10.1093/brain/awac489
For more information, visit www.igbmc.fr/laporte .
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