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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