Postdoctoral Fellow in Bioinformatics and Machine Learning
- Institution/Company:
- McGill University and Université du Québec à Montréal
- Location:
- Montreal, QC, Canada
- Job Type:
-
- Postdoctoral
- Degree Level Required:
- PhD
- Apply Now
Postdoctoral Fellow in Bioinformatics and Machine Learning
The McGill University and Genome Quebec Innovation Centre, and Bioinformatics laboratory at the Université du Québec à Montréal are recruiting a postdoctoral fellow in Bioinformatics and Machine Learning. Our goal is to apply machine learning/deep learning algorithms in order to improve the prediction and classification 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) 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/).
Responsibilities:
–
Qualifications:
We are looking for a candidate with a PhD in bioinformatics, statistics or related areas, with an expertise in machine learning. Candidates with a PhD in biology, or related discipline, with a computational and machine learning expertise, are also encouraged to apply. Strong analytical and programming skills are highly desirable.
-
How to Apply
Send your application to Dr. Robert Nadon (at: robert.nadon(at)mcgill.ca) and/or Dr. Vladimir Makarenkov (at: makarenkov.vladimir(at)uqam.ca)