- Grants since 2016
- 1 260
- Awarded, last 5 years (where amounts are published)
- —
- Funded works, last 5 years
- 3 102
- Funded works, all time
- 9 338
Grants
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
First-principles quantum modeling of electro-thermal transport in materials
Jesse Maassen · Dalhousie University
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
From nano-mechanics to materials design: using first principles data to engineer high-performance materials
Ronald Miller · Carleton University
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
The genomic basis of local adaptation
Sam Yeaman · University of Calgary
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Novel Deep Learning Methods and Applications
Muhammad Abdul-Mageed · University of British Columbia
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Ab initio nuclear theory for applications to astrophysics and tests of fundamental symmetries
Petr Navratil · TRIUMF
2021–2023 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
IRCM Bioinformatics
Jean-François Côté · Université de Montréal
2021–2024 · grant · Resource Allocation Competition (RAC): Research Platforms and Portals (RPP)
ORCESTRA and Pharmacogenomics Data Analysis Web Applications
Benjamin Haibe-Kains · University Health Network
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
SuperCDMS@SNOLAB
Miriam Diamond · University of Toronto
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Plasma turbulence simulations with applications to electric propulsion, material processing and magnetic fusion
Andrei Smolyakov · University of Saskatchewan
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Novel Video Analytics Through Advanced Deep Learning
Paul Fieguth · University of Waterloo
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Mesoscale Imaging of Mouse Brain in Models of Human Neurological Disease
Tim Murphy · University of British Columbia
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
GRMHD Simulations of the Multi-wavelength Variability in Sgr A* and Jet Propagation in AGN
Daryl Haggard · McGill University
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Analysis and statistical inference of infectious diseases systems, with a focus on transient dynamics and delays
Felicia Magpantay · Queen's University
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Environmental Genomics of Adaptation
Sean Rogers · University of Calgary
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
New frontiers in intense laser-matter interactions
Amina Hussein · University of Alberta
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
AI for Video Driven Information and Communication Applications
Panos Nasiopoulos · University of British Columbia
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Imaging memory in mice
Sheena Josselyn · Hospital for Sick Children
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Apprentissage profond efficace en énergie avec applications en télécommunications
François Leduc-Primeau · École Polytechnique
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG)
Reproducibility of Neuroimaging Methods
Jean-Baptiste Poline · McGill University
2021–2022 · grant · Resource Allocation Competition (RAC): Resources for Research Groups (RRG), Fast Track
Deep Learning: Algorithms & Architectures, Applications and Acceleration
Graham Taylor · University of Guelph