Chercheur postdoctoral en Bioinformatique et Apprentissage Automatique

Type de poste
Niveau d'étude minimal
Dates
Durée du poste
Contrat renouvelable
Contrat renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce
Localisation
Adresse

740 Avenue du Docteur-Penfield
Montréal QC H3A 0G1
Canada

Contacts
Vladimir Makarenkov (Université du Québec à Montréal)
Robert Nadon (McGill University)
Email du/des contacts
makarenkov.vladimir@uqam.ca
robert.nadon@mcgill.ca
Description

The McGill University, Genome Quebec Innovation Centre, and the Bioinformatics lab at the Université du Québec à Montréal are recruiting a postdoctoral fellow in Machine Learning and Bioinformatics. Our goal is to apply machine learning/deep learning algorithms to improve the prediction performance of existing methods used in screening technologies. The topics of interests include, but are not limited to:
1) Prediction of hits and bioactivities in HTS (High Throughput Screening), HCS (High Content Screening) and other screening technologies with increased levels of accuracy (see for example: https://www.nature.com/articles/s41563-019-0338-z);
2) Prediction of off-target mutations in CRISPR genes (see for example: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129261).
We offer a very competitive salary and benefits package.

Qualifications:
We are looking for a candidate with a PhD in bioinformatics, computer science, statistics, mathematics or related areas with an expertise in machine learning (for up to 5 years after receiving the doctoral degree). Candidates with a PhD in biology, or related disciplines, with a computational and machine learning expertise, are also encouraged to apply. Strong analytical and programming skills are highly desirable.

Equipe adhérente personne morale SFBI
Equipe Non adhérente