- Country: United Kingdom
- Summary: Met Office Spf Excalibur Ex20 - 10: Machine Learning
- GBT Ref No: 49220627
- Deadline: 05 Mar 2021
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: GBP 750000.00
- Notice Type: Tender
- Document Ref. No.: DN517499
- Purchaser's Detail:Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details. Login to see full purchaser details.
- Description:
- Met Office Spf Excalibur Ex20 - 10: Machine Learning
A standardised approach, either via libraries or interfaces, to the fusion of a range of machine learning tools and simulation codes representing the relevant use cases that will facilitate the uptake of ML methods to improve and optimise existing numerical methods and physically based simulations.
Region(s) of supply :UNITED KINGDOM
Estimated value :£750,000.00
Categories :73000000-2 - Research and development services and related consultancy services
Last Date of Submission : 05/03/2021 17:00:00 - Documents:
If you are registered member, kindly login to view full details of this tender notice:
CLICK HERE TO LOGINMet Office Spf Excalibur Ex20 - 10: Machine Learning - Greatbritain Tender
The MET OFFICE, a Government sector organization in United Kingdom, has announced a new tender for Met Office Spf Excalibur Ex20 - 10: Machine Learning. This tender is published on GreatbritainTenders under GBT Ref No: 49220627 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2021-03-05.
The estimated tender value is GBP 750000.00, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
