machine learning applied to transcriptomic data in a model of metastasis.

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce
Nom de la structure d'accueil

141 rue de la Cardonille
34000 Montpellier

william ritchie
Email du/des contacts

We have currently generated a wealth of transcriptomic data (mRNA-seq, ONT long-read seq) and epigenetic data to dissect the epithelial to mesenchymal transition underlying tumor progression and metastasis. We will integrate this data as well as explore long range interactions that may regulate RNA processing through direct contact with enhancers. We are therefore looking for very motivated, hard-working and creative candidates with strong background in computer science or statistics to explore RNA regulation through epigenetic and long range interactions. Previous expertise in RNA processing and/or epigenetics will be positively evaluated.