- Grants since 2016
- 2 687
- Awarded, last 5 years (where amounts are published)
- —
- Funded works, last 5 years
- 4 096
- Funded works, all time
- 4 109
Grants
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Conception of new solar cells and Metal-Organic Frameworks multifonctionels
Pierre Harvey · Université de Sherbrooke
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Deep Learning for Multimodal Data with Applications in Healthcare
Eugene Belilovsky · Concordia University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Accelerated design of functional materials based on predictive physical modelling
Oleg Rubel · McMaster University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Understanding the enzymatic synthesis of glycans through multiscale modeling
Katie Wilson · Memorial University of Newfoundland
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Conservation and genome adaptation of salmonids in a changing climate
Ben Koop · University of Victoria
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Elucidating the Genomic Causes of Cardiovascular Disease
James Engert · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Molecular Dynamics Simulations of Crystal Nucleation
Gren Patey · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Asset Pricing with Attention Guided Deep Learning
Ruslan Goyenko · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Microbial processes involved in carbon capture, utilization and storage.
Julien Tremblay · Institut National de la Recherche Scientifique
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Cosmological Analysis
Jonathan Sievers · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
The genomic effects of landslides on salmon
Gregory Owens · University of Victoria
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
Syzygy: A National Interactive Computing Platform
James Colliander · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Complex Microbial Communities in Health and Disease
John Parkinson · Hospital for Sick Children
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Model wavefunctions for strong electron correlation in quantum chemistry
Paul Johnson · Université Laval
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
High-fidelity computing of environmental fluid and particle flows
Qi Zhou · University of Calgary
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Model-based computation in the brain and in brain-inspired machine learning
Aaron Gruber · University of Lethbridge
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
High-resolution Downscaling and Hydrologic Projections in Canada with Next-generation Climate Models
Francis Zwiers · University of Victoria
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Resolving cumulus mixing processes
Daniel Kirshbaum · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Predictive microbial-based modeling of ecosystem processes
Étienne Yergeau · Institut National de la Recherche Scientifique
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Bubble Chambers for Dark Matter Research
Ken Clark · Queen's University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Une médecine de précision pour les patient adultes atteints du cancer (Marathon de l'Espoir)
Michaël Chassé · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational design of high-performance metallic materials
Chuang Deng · University of Manitoba
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Atom-defined quantum devices on all-silicon platforms
Robert Wolkow · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Acceleration of Optimizations Methods
Maryam Mehri Dehnavi · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Large eddy simulation methods for studying turbulent and multiphase flows
Jahrul Alam · Memorial University of Newfoundland
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Extreme-scale optimization for Deep Learning-based Control
Yankai Cao · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Functional genomics lab
Claudia L. Kleinman · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Flow and structural dynamics of hydraulic turbines in off-design conditions
Claire Deschênes · Université Laval
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Intelligent Robotics
David Meger · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Prévisibilité des feux de forêt et des aléas hydrométéorologiques associés
Philippe Gachon · Université du Québec à Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Synthesizing Programmatic Knowledge with Heuristic Search
Levi Lelis · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Integrated Machine Learning and Optimization for Decision Making under Uncertainty
Yossiri Adulyasak · HEC Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational Epi(Genomics) of Disease and Cancer
Jacek Majewski · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational fluid dynamics modelling of photobioreactors for carbon capture
Christopher Degroot · Western University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Direct numerical simulations of turbulent scalar mixing
Laurent Mydlarski · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational Support for Joint Computer Networking and Machine Learning Research
Ben Liang · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Controllable and Reliable Image Synthesis
Ke Li · Simon Fraser University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational investigations of the emissions characteristics of mixed combustion mode natural gas engines
Jim Wallace · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
3D Simulations of Convection in Stars across the Stellar Zoo
Falk Herwig · University of Victoria
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Investigating drugging opportunities on RAS proteins through long-timescale molecular dynamics simulations
Steven Laplante · Institut National de la Recherche Scientifique