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Carleton University

The postdoctoral researcher will contribute to the development of several network optimization models of the Canadian energy system. These models will support decisions on where to deploy Negative Emissions Technologies (NETs, like direct air capture of CO2 (DAC) and carbon capture, utilization and storage (CCUS)) to minimize grid energy requirements and maximize renewable energy use. In addition to model development, the post-doctoral researcher will be expected to maintain high-quality scholarly output in peer-reviewed scientific journals. The overall goal of this research is to guide successful near-term deployment of these technologies, which form a cornerstone of the Canadian government’s 2030 Emissions Reductions Plan. This research is part of a six-year grant supported by Environment and Climate Change Canada (ECCC). As such, the postdoctoral researcher will have the opportunity to brief ECCC and other government and industry stakeholders on the results of the research and modeling efforts.

Posted

June 18, 2022

University of Calgary

The available position is part of the multidisciplinary research program in the Tarailo-Graovac group which combines Caenorhabditis elegans genomics, bioinformatics and traditional molecular genetics approaches to understand which variation in a DNA manifests as a disease/lethality, and genome context (ie. genetic modifiers) that render essential genes non-essential. We utilize C. elegans model organism and its strains isolated across the Globe, whole genome sequencing, transcriptome sequencing and CRISPR/Cas9 knock-out and knock-in methods to better understand the plasticity of essentiality. We are looking for a creative and highly motivated research scholar with strong interest in deciphering complex genetic interaction networks and genetic modifiers of essential genes in different genetic backgrounds. The ideal candidate will have expertise in C. elegans molecular techniques, interest in genetic modifier networks, and passion for translational genomics

Posted

June 18, 2022

University of British Columbia

Professor Artem Cherkasov is looking for a talented Postdoctoral Fellow with a demonstrated research background and experience in computer-aided drug design. The Postdoctoral Fellow will work on exciting drug discovery programs providing cutting-edge Deep-learning docking strategy to support structure-based and ligand-based virtual screening and lead optimization. • Strong problem solving and efficient communication skills. • Strong Deep-learning programming experience with GPUs. • Statistical data analysis and database management skills. • Strong python, bash, Perl, awk, and SVL programming skills. • Strong portfolio of open-source software available on GitHub. • Solid background in computational chemistry, biological chemistry, organic chemistry, medicinal chemistry and pharmacokinetics. • Hands-on experience in structure-based and ligand-based drug design and compound library design. • Familiarity with state-of-the-art modeling and cheminformatics tools such as MOE, Schrodinger, OpenEye and ICM suite of program. Reading published papers and adapting procedures accordingly. Liaising with collaborators and present research findings in international conferences. Preparing manuscripts to high impact journals. Assisting with research proposals to be submitted to granting agencies.

Posted

June 18, 2022

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