The Brandenburg University of Technology Cottbus-Senftenberg is seeking to procure fourteen (14) real-time computers. These computers will be used for data acquisition and distribution, condition monitoring and control, and the simulation of complex component models in real-time. Key specifications
Tender closed on 10 Jun 2025. Awaiting award.
Only 1 prior award here — too little to read.
In this category, BRANDENBURG UNIVERSITY OF TECHNOLOGY COTTBUSSENFTENBERG has awarded 1 contract to 1 supplier.
Across this category, the most active winners are Sharp Business UK PLC, XMA LIMITED, DELL CORPORATION LIMITED — the field to beat, or your route in as a partner.
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The Brandenburg University of Technology Cottbus-Senftenberg is seeking suppliers for the procurement of the following items: Lot 1: EOS Material Change Kits, Lot 2: EOS Peripherals, Lot 3: VCS Software. For further details and requirements, please refer to the specifications outlined in the 'Tender
This contract involves the installation, commissioning, and maintenance of all necessary software and hardware components for a 5-sided CAVE system. Additionally, it includes the configuration and installation of a freestanding platform tailored to the specific architectural and spatial conditions o
The Brandenburg University of Technology Cottbus-Senftenberg is seeking to procure fourteen (14) real-time computers. These computers will be used for data acquisition and distribution, condition monitoring and control, and the simulation of complex component models in real-time. Key specifications
This contract involves joining the Federal Framework Agreement for Microsoft EES, which is valid from 2025 to 2030. The Brandenburg University of Technology Cottbus-Senftenberg is seeking suppliers to provide software packages and information systems under this agreement. The total value of the cont
Fund collaborative data service networks to connect practitioners and improve research support services across the social science sector.
Get up to £250,000 to develop marine robots and autonomous underwater vehicles designed to operate reliably in extreme Arctic conditions over 18 months.
Deploy collaborative autonomous platforms in the Arctic Ocean to advance polar research and demonstrate AI-enabled mission capabilities over six to eight weeks from Svalbard.
Fund innovative wearable and observation-based methods to measure how home learning environments influence child development and educational outcomes.
