|CCL 22.09.29 Graduate student positions in AI for drug discovery, University of Ottawa|
From: jobs at ccl.net (do not send your application there!!!)
To: jobs at ccl.net
Date: Thu Sep 29 16:01:57 2022
Subject: 22.09.29 Graduate student positions in AI for drug discovery, University of Ottawa
The Gentile Lab in the Department of Chemistry and Biomolecular Sciences at the University of Ottawa is looking for motivated graduate researchers to join the team and work at the interface chemistry, biology, and computer science to address problems that are central to drug discovery. Our newly established lab is in the STEM building at the University of Ottawa , one of Canadas best universities. Trainees will have access to state-of- the-art software and computational infrastructures, and will be part of a vibrant local community of AI researchers. Trainees will also take advantage of our broad collaboration network with national and international leading groups in medicinal chemistry, biophysics, biochemistry, pharmacology, and bioengineering. Our research focuses on the development and application of machine learning and physics-based tools to advance early-stage drug discovery. Specifically, we are interested in i) building machine learning accelerators for virtual ligand screening at the billion scale ii) developing improved structure- based methods to evaluate ligand-receptor interactions iii) identifying novel small molecule modulators of DNA repair in cancer. There are currently projects available in all these three areas. Further details about our group can be found at https://gentilelab.uottawa.ca. Requirements - A BSc (for MSc positions) or MSc (for PhD positions) in Chemistry, Biochemistry, or related fields - Knowledge of Python, R, or other programming languages - Hands-on experience in molecular dynamic simulations, molecular docking, or machine learning in chemistry Key articles 1. Gentile, F. et al. Artificial intelligence enabled virtual screening of ultra-large chemical libraries with deep docking. Nat. Protoc. 17, 672697 (2022) 2. Gentile, F. et al. Automated Discovery of Noncovalent Inhibitors of SARS-CoV-2 Main Protease by Consensus Deep Docking of 40 Billion Small Molecules. Chem. Sci. 12, 1596015974 (2021) 3. Gentile, F. et al. Computer-aided drug design of small molecule inhibitors of the ERCC1-XPF protein protein interaction. Chem. Biol. Drug Des. 95, 460471 (2020)
Please send - your CV - academic transcripts - cover letter - names and emails of three references willing to write supporting letters to fgentile AT uottawa.ca, with the subject "Gentile Lab - Graduate student application - AI4Science". Applications will be accepted until November 1st, 2022. Only candidates that are shortlisted for an interview will be contacted.NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
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