Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : Sorbonne University/IBPS
Durée : 6 months
Contact : lucile.megret@sorbonne-universite.fr
Date limite de publication : 2024-12-31
Contexte :
The Brain-C team at the Paris-Seine Institute of Biology (IBPS) is developing several original research projects aimed at understanding the dynamics of neuronal compensation mechanisms during the progression of neurodegenerative diseases (ND), such as Huntington’s disease and amyotrophic lateral sclerosis (ALS). The multidisciplinary team is composed of biologists and mathematicians and relies on a network of local and international collaborators for both the production of multi-omic data and their analysis. In this context, the Brain-C team has access to large temporal datasets (RNA-seq, ChIP-seq) obtained from specific neuronal populations, notably in mouse models, which are analyzed for therapeutic innovation purposes (target selection).
See: https://www.ibps.sorbonne-universite.fr/fr/Recherche/umr-8256/brainc
Sujet :
In collaboration with École Polytechnique and Telecom Paris, the objective of this internship is to identify, at a fine-grained level, the similarities and differences in the molecular dynamics underlying these diseases. Genomic deregulation will be modeled using graph-based approaches, and optimal transport will be employed as a metric to compare these objects across different levels of granularity.
Expected outcomes:
Develop a clustering method for comparing neurodegenerative diseases (ND).
Identify and interpret substructures within these graphs that reflect similarities or divergences, and relate them to underlying biological mechanisms.
Compile a comprehensive list of challenges that will be addressed and further explored in the context of a future PhD project.
Profil du candidat :
Students in their second year of a Master’s degree in Mathematics or Computer Science, or students from engineering schools, with a strong interest in AI,
Proficiency in Python or at least one programming language.biology, and translational research.
Formation et compétences requises :
Adresse d’emploi :
7 quai Saint-Bernard 75005 Paris