Published
UKRI-4300 Automated high throughput MS-based proteomics sample purification and liquid chromatography separation device
34 Suppliers have already viewed this notice
Track & Win Public Sector Contracts and Tenders. Sign up for Free
Value
110,000 GBP
Description
The Medical Research Council (MRC), part of UK Research and Innovation, are looking to purchase an automated high throughput MS-based proteomics sample purification and liquid chromatography separation device with direct input to mass spectrometer for standardised analysis. This is required for the Laboratory of Molecular Biology in Cambridge. Lot 1: The Medical Research Council (MRC), part of UK Research and Innovation, are looking to purchase an automated high throughput MS-based proteomics sample purification and liquid chromatography separation device with direct input to mass spectrometer for standardised analysis. This is required for the Laboratory of Molecular Biology in Cambridge.
Personalised AI Summary
Create a Free Account on Stotles
Stotles is your single source for government tenders, contracts, frameworks and much more. Sign up for free.
Explore similar pre-tenders, open or awarded contracts
Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.
UK Health Security Agency
5,000,000,000 GBP
Published 5 months ago
UK Health Security Agency
5,000,000,000 GBP
Published 5 months ago
UK Research & Innovation
890,800 GBP
Published 8 months ago
Agri-food and Biosciences Institute
–
Published a year ago
Cell Therapy Catapult Ltd
–
Published a year ago
Ministry of Defence
–
Published 2 years ago
Ministry of Defence
–
Published 2 years ago
Explore top buyers for public sector contracts
Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.
Sign up to the Stotles Tender Tracker for free
Find even more contracts with advanced search capability and AI powered relevance scoring.