Hq25nf154_Eoi for Consultancy Services for Climate Forecasting Tender, Estonia - 118743679

WORLD FOOD PROGRAMME (WFP) has floated a tender for Hq25nf154_Eoi for Consultancy Services for Climate Forecasting. The project location is Estonia and the tender is closing on 12 May 2025. The tender notice number is HQ25NF154_EOI, while the TOT Ref Number is 118743679. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.

Expired Tender

Procurement Summary

Country : Estonia

Summary : Hq25nf154_Eoi for Consultancy Services for Climate Forecasting

Deadline : 12 May 2025

Other Information

Notice Type : Tender

TOT Ref.No.: 118743679

Document Ref. No. : HQ25NF154_EOI

Financier : World Food Programme (WFP)

Purchaser Ownership : Public

Tender Value : Refer Document

Purchaser's Detail

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Tender Details

The United Nations World Food Programme hereinafter referred to as the "WFP", with its Headquarters locatedin Via C.G. Viola, 68/70, 00148 Rome, Italy is the leading humanitarian organization saving lives and changinglives, delivering food assistance in emergencies and working with communities toimprove nutrition and buildresilience by assisting almost 100 million people in around 83 countries each year. About 17, 000 people workfor the organization, most of them in remote areas, directly serving the hungry poor.The WFP Climate and Resilience Unit seeks to purchase and solicit technicalassistance and expertise from competent firms and institutions to support the implementation, uptake and capacity transfer of open-sourceAI/ML models such as Conditional Generative Adversarial Network (cGAN) and Numerical Weather Prediction(NWP) model for the implementation of the Strengthening EarlyEarning Systems for Anticipatory Action project.The purpose of this request for EOI is to identify suppliers with verified technical and financial capacity to provideConsultancy Services for Climate Forecasting using machine learning models such as the Conditional GenerativeAdversarial Network. Eligiblesuppliers will be invited to participate in the bidding process for the proposedRequest for Proposal (RFP) tender.The LTAs to support Machine Learning for climate forecasting will enable the implementation, scale up and operationalization of the AI/ML models such as the CGAN across different CO's, ...

Documents

 Tender Notice


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