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High-Performance Computing, Bayesian Analysis, Multi-Messenger Simulations, Deep Neural Networks

CanadaTenders notice for High-Performance Computing, Bayesian Analysis, Multi-Messenger Simulations, Deep Neural Networks. The reference ID of the tender is 103878198 and it is closing on 23 Jul 2024.

Tender Details

  • Country: Canada
  • Summary: High-Performance Computing, Bayesian Analysis, Multi-Messenger Simulations, Deep Neural Networks
  • CAT Ref No: 103878198
  • Deadline: 23 Jul 2024
  • Financier: Self Financed
  • Purchaser Ownership: Government
  • Tender Value: Refer Document
  • Notice Type: Tender
  • Document Ref. No.: RFT20627-01-24
  • Purchaser's Detail:
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  • Description:
  • Physics- Multi-scale studies of the nuclear medium via multi-messenger Bayesian analysis Technology- High-performance computing, Bayesian analysis, multi-messenger simulations, Deep Neural Networks Product and Service Requirements Vendors are requested to provide pricing (See Article 2.10) on the products listed that they could provide. Vendors may also offer their β€œequivalents or better” which in their opinion equal or exceed the technical or performance standards of the described items. The acquisition of the equipment and/or services outlined below is funded by Canada Foundation for Innovation (CFI) Grant and as such, further to Article 2.10, any in-kind contributions must be shown separately. For additional information on CFI Grants, please see website: www.innovation.ca
  • Documents:

 Tender Notice

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High-Performance Computing, Bayesian Analysis, Multi-Messenger Simulations, Deep Neural Networks - Canada Tender

The UNIVERSITY OF REGINA, a Government sector organization in Canada, has announced a new tender for High-Performance Computing, Bayesian Analysis, Multi-Messenger Simulations, Deep Neural Networks. This tender is published on CanadaTenders under CAT Ref No: 103878198 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 2024-07-23.

The estimated tender value is Refer Document, 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.

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