Difference between revisions of "Partnership Applications"
MeganCarter (talk | contribs) |
MeganCarter (talk | contribs) |
||
| Line 3: | Line 3: | ||
==Winter 2023 Class == | ==Winter 2023 Class == | ||
| − | ===UK Met Office Informatics Lab - Type | + | ===UK Met Office Informatics Lab - Type II=== |
The Met Office is the National Weather and Climate Service for the United Kingdom and a world leader in weather & climate | The Met Office is the National Weather and Climate Service for the United Kingdom and a world leader in weather & climate | ||
| Line 15: | Line 15: | ||
:Full Application: [https://drive.google.com/drive/folders/1HPj3Zh5IvOAtzyFWQu9-2IAyU6-mQSDx] | :Full Application: [https://drive.google.com/drive/folders/1HPj3Zh5IvOAtzyFWQu9-2IAyU6-mQSDx] | ||
| − | ===Open Science Computing, LLC - Type | + | ===Open Science Computing, LLC - Type III=== |
Accelerating Open Science by expanding the community of researchers sharing cloud-optimized data and conducting analysis and visualization with a scalable open-source framework that works effectively on laptops, HPC and Cloud. | Accelerating Open Science by expanding the community of researchers sharing cloud-optimized data and conducting analysis and visualization with a scalable open-source framework that works effectively on laptops, HPC and Cloud. | ||
Revision as of 10:12, November 22, 2023
Back to Partnership -- The following applications have been posted for review by the Partnership Committee
Winter 2023 Class
UK Met Office Informatics Lab - Type II
The Met Office is the National Weather and Climate Service for the United Kingdom and a world leader in weather & climate research and operations. The Informatics Lab is a team within the Met Office that focused on exploring future themes in science and technology that will be relevant to the wider organisation on a 5-10 year horizon. The current focus is leading research into applying data science and machine learning to weather and climate research and operations. Themes within this include analysis-ready data, platforms and tools that enable scaling up ML pipelines to meet the requirements of weather and climate, physics-informed-machine learning, Explainable AI, and the potential of digital twins to assist in making informed decisions.
- Website: https://www.metoffice.gov.uk
- Full Application: [1]
Open Science Computing, LLC - Type III
Accelerating Open Science by expanding the community of researchers sharing cloud-optimized data and conducting analysis and visualization with a scalable open-source framework that works effectively on laptops, HPC and Cloud.
- Website: https://opensciencecomputing.com
- Full Application: [2]
