Loading…
Loading grant details…
| Funder | Science and Technology Facilities Council |
|---|---|
| Recipient Organization | University College London |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Sep 29, 2028 |
| Duration | 1,460 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2921576 |
In this project we will apply machine learning and data science techniques, such as data compression via geometric deep learning and inference via neural density estimation, to constrain cosmology through the cosmic dark matter distribution traced by large galaxy surveys and gravitational wave sources.
University College London
Complete our application form to express your interest and we'll guide you through the process.
Apply for This Grant