The contract involves the supply of server equipment, storage systems, and virtualization, backup, and archiving solutions for the Medical University of Lublin. The project is divided into five tasks: 1) Data center equipment including servers, network switches, UPS, virtualization software, and rac
Tender closed on 5 Nov 2025. Awaiting award.
The contract involves the delivery of medical training simulators, divided into three specific tasks: 1. Task 1 – Endoscopy simulators 2. Task 2 – Advanced laparoscopic simulator 3. Task 3 – Advanced bronchoscopy simulators with pulmonary modules. Detailed descriptions and technical specifications f
The contract involves the supply of small laboratory equipment, divided into three tasks: 1) Supply of small laboratory equipment according to the Bionovo catalog or equivalent; 2) Supply of small laboratory equipment according to the Genoplast catalog or equivalent; 3) Supply of small laboratory eq
This contract involves the delivery of equipment for the preparation and storage of anatomical specimens, including: a refrigeration chamber capable of storing at least 25 bodies, a hydraulic-electric loading cart, a formalin basin for long-term storage of at least 6 bodies, and a preparation table
The contract involves the delivery and implementation of an audio-video system for debriefing and OSCE examinations at the Medical University of Lublin. This system will enable the creation of mobile OSCE examination stations equipped with necessary tools for conducting medical exams through direct
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.
