- 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
Cosmology from galaxy surveys
William Percival · University of Waterloo
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Sustainable Energy Systems Integration and Transitions (SESIT) Group Resources
Madeleine Mcpherson · University of Victoria
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Exploring the transcriptomic immune landscape of multiple sclerosis to understand disease progression and establish new prognostic biomarkers
Alexandre Prat · Université de Montréal
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Hydrodynamics of Quantum Matter
Thomas Scaffidi · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Learning for Collaborative Robotic Manipulation
Jonathan Kelly · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Multivariate dimensionality and graph structure of FMRI signals evoked by naturalistic stimuli
Bradley Buchsbaum · Baycrest Centre for Geriatric Care
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Enabling energy efficient gas separations through computation:CO2 capture, Oxygen and Helium purifications
Arvind Rajendran · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
High to Very High Resolution Modelling of High Latitude Oceans
Paul Myers · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Numerical climate modeling for Canada's western interior
David Sauchyn · University of Regina
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Polarized Cosmic Radiation Probing Structure in the Early & Late Cosmic Web
J. Richard Bond · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Omics integration and machine learning application
Jacques Corbeil · Université Laval
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Ab initio molecular dynamics simulations of ion mobility in fast ion conductors for solid state batteries
Linda Nazar · University of Waterloo
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Enhancing Astrometry.net for the Gaia era
Dustin Lang · Perimeter Institute
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Cognitive Data Science Platforms
Essam Mansour · Concordia University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Investigating the formation and properties of 2D polymers, molecular networks and nanostructured materials
Federico Rosei · Institut National de la Recherche Scientifique
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Simulation-Based Analysis and Design of Multiphase and Reactive Chemical Processes
Jan Haelssig · Dalhousie University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Machine Learning Approaches for Connected and Autonomous Electric Vehicles (Aerial and Ground)
Hussein Mouftah · University of Ottawa
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
ML-driven Augmented Human Computer Interfaces
Helge Rhodin · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Molecular simulations of crystal nucleation and growth, ordering processes in solution, and nanobubble stability and mobility
Peter Kusalik · University of Calgary
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Chemistry in small volumes
Styliani Constas · Western University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Analytical Variability in Neuro-Data Science
Tristan Glatard · Concordia University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Multiphase flow computations for Greenhouse Gas mitigation strategies
Ian Frigaard · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Assisted Reinforcement Learning: Improving Reinforcement Learning for Real-World Tasks
Matthew Taylor · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Uniformly Efficient Semiparametric Difference-indifferences Estimation of Quantile Treatment Effect
Doosoo Kim · Toronto Metropolitan University
2023–2026 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
Energy Modelling Hub (EMH) Community Platform Resources
Madeleine Mcpherson · University of Victoria
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Computational materials science of metals, salts, clays, and bone
Laurent Karim Béland · Queen's University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Analog Ensemble Forecasting of Precipitation in SW British Columbia
Roland Stull · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Scalable computational methods for predicting phenotype from very large genotype cohorts
Gary Bader · University of Toronto
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational Molecular Electronic Spectroscopy
Mariusz Klobukowski · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Deep learning-based models for computer vision in emerging applications
Mohamed Shehata · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Computational methods for proteomic and metabolomic datasets
Leonard Foster · University of British Columbia
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Development of clean technologies for adaptation and mitigation of climate change in the North
Agus Pulung Sasmito · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Molecular Mechanisms of Depression
Gustavo Turecki · McGill University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
The genomic basis of local adaptation
Sam Yeaman · University of Calgary
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Multiscale Modeling of Nanoparticle Formation in Gas Phase
Mohammad Reza Kholghy · Carleton University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Development of an actuator line model used with deep learning-based turbulence models for the simulation of the performance of clusters of bladed/bladeless wind turbines
Fue-Sang Lien · University of Waterloo
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Solving the laser coupling problem in laser fusion energy by twisting light: a numerical investigation.
Jason Myatt · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Chemical Modeling and Simulations of Bulk and Nanoscale Assemblies in Materials, Life and Environmental Sciences
Gilles Peslherbe · Concordia University
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Density Functional Theory Calculation: a powerful tool to explore the electrocatalyst to reduce CO2 emission and utilize existing CO2 in the atmosphere
Jingli Luo · University of Alberta
2023–2024 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Quantum Chemistry Applied to Diverse Energy, Environmental and Materials Problems
H. Georg Schreckenbach · University of Manitoba