PhD in computational biology
CDD · Thèse · 36 mois Bac+5 / Master laboratoire TIMC (Université Grenoble Alpes) · Grenoble (France)
Date de prise de poste : 1 octobre 2023
Mots-Clés
Computational biology Models and simulations Parameter inference (Markov chain Monte Carlo) Artificial intelligence for biology Bacterial evolution
Description
This PhD project concerns the development of quantitative models and parameter inference methods for bacterial evolution, with a focus on Approximate Bayesian Computing methods to study questions related to the emergence of mutants in bacterial populations.
The full project is available here: https://perso.crans.org/frenoy/funded_PhD_ABC_MicrobialEvolution.pdf
Candidature
Procédure : Applications should be sent by email to Antoine Frenoy (antoine.frenoy@univ-grenoble-alpes.fr), and include a CV, a short application letter, the contact of at least one reference (or a reference letter), and a transcript from M1+M2 grades if available. There is no strict deadline, review of applications will start immediately and stop when a strong candidate is found.
Date limite : 9 juin 2023
Contacts
Antoine Frenoy
anNOSPAMtoine.frenoy@univ-grenoble-alpes.fr
https://perso.crans.org/frenoy/funded_PhD_ABC_MicrobialEvolution.pdf
Offre publiée le 17 mai 2023, affichage jusqu'au 9 juin 2023