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Tender Details
- Country: United Kingdom
- Summary: De_371 Machine Learning for Earth System Digital Twins
- GBT Ref No: 81373995
- Deadline: 09 Jun 2023
- Competition: ICB
- Financier: Self Financed
- Purchaser Ownership: Public
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: DN664776
- Purchaser's Detail :
- Description :
- De_371 Machine Learning For Earth System Digital Twins
ECMWF, as one of the Entrusted Entities for the Destination Earth (DestinE) initiative, invites Tenders for the purpose of demonstrating that Machine Learning/ Deep Learning (ML/DL) based methodologies can augment DestinE datasets and products from the Weather-induced and geophysical extremes Digital Twins (DT). ECMWF intends to award a single contract for a maximum period of 24 months, which is expected to commence by October 2023. Portal instructions: Some of the ITT documents are accessible under the ‘Attachments- box at bottom right of this page. The full set of ITT documents which are provided inside the response questionnaire are only accessible by registering an interest in this opportunity (see the 'Expression of interest window' at top right). Please refer initially to the ‘ECMWF eProcurement Portal Guidance for suppliers- file in the Attachments box as this document will help you navigate the portal and locate the necessary information in order to submit a proposal. Please note that the contact email address shown under 'Contact details' is not monitored, and any messages sent to this email address will not be attended to. Questions / clarifications concerning this ITT must be submitted via the Messaging area of the ITT, which can be accessed through the My Activities page of the Portal once you have logged-in and registered your interest in this opportunity.
Region(s) of supply :Österreichb... - Documents :
Purchaser : ECMWF
ECMWFReadingBerkshireRG2 9AXUnited Kingdom
Contact Name :Procurement at ECMWF
Telephone :+44 118 949 9000
Email :do_not_use@ecmwf.int
Email :do_not_use@ecmwf.int
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