This procurement contract is for selecting a supplier to deliver one software system for automatic karyotyping. This system will support an internal project focused on scientific and innovative research under the GenoHeme project, which aims to enhance translational achievements in medicine at the M
Tender closed on 11 Aug 2025. Awaiting award.
This public procurement contract is for selecting a contractor to supply, install, and commission laboratory equipment for the Medical University "Prof. Dr. Paraskev Stoyanov" in Varna. The contractor will also provide training for up to three staff members on how to use the laboratory equipment. Th
This public procurement contract aims to select a contractor for construction and repair works in 11 rooms and common areas, covering a total area of 400 square meters at the Rectorate building of the Medical University of Varna, located at 55 Marin Drinov Street, Varna. The construction and repair
The purpose of this public procurement is to select a contractor to provide insurance services for a period of 2 years for the Medical University "Prof. Dr. Paraskev Stoyanov" in Varna, as detailed in the attached Technical Specification (Appendix No. 1). The contract includes 14 different types of
This public procurement contract seeks to select one or more suppliers for the delivery of antibodies and consumables to support the work programs of scientific groups 3.2.3. RenEVA and 3.1.1. Natura4Health under contract number BG-RRP-2.004-0009-C02, funded by the EU - NextGenerationEU through the
UK AI SMEs can access up to £5 million in funding to deploy AI and machine learning solutions for critical decision-making, working with medium or large organisations.
Funding for UK AI SMEs to deploy machine learning solutions that automate compliance monitoring, testing, and verification for medium and large organizations.
UK SMEs can secure £100,000-£200,000 in grants to deploy AI and machine learning solutions for operational automation and control.
UK SMEs can secure £100,000-£200,000 in funding to deploy AI and Machine Learning solutions for compliance monitoring and verification in this Phase 1 programme.
