UKRI AI Centre for Doctoral Training in Biomedical Innovation Revenue
Higher Education • 
Edinburgh, Scotland, United Kingdom • 11-20 Employees
UKRI AI Centre for Doctoral Training in Biomedical Innovation revenue & valuation
| Annual revenue | $1,539,990 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Higher Education industry and current estimated revenues | $5,000,000 |
| Total funding | No funding |
Key Contact at UKRI AI Centre for Doctoral Training in Biomedical Innovation
Ian Simpson
Director
Company overview
| Headquarters | 10 Crichton Street, Edinburgh, Scotland EH8 9AB, GB |
| Website | |
| NAICS | 6112 |
| Keywords | Artificial Intelligence, Bioinformatics, Machine Learning, Health Informatics, Biomedical Engineering, Biomedical Imaging, Genomic Medicine |
| Founded | 2024 |
| Employees | 11-20 |
| Socials |
UKRI AI Centre for Doctoral Training in Biomedical Innovation Email Formats
UKRI AI Centre for Doctoral Training in Biomedical Innovation uses 2 email formats. The most common is {first name}.{last name} (e.g., john.doe@ed.ac.uk), used 75% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@ed.ac.uk | 75% |
{last name} | doe@ed.ac.uk | 25% |
About UKRI AI Centre for Doctoral Training in Biomedical Innovation
The greatest challenge to realising the potential of AI in biomedicine is translation of AI research into real-world use. Our AI Centre for Doctoral Training in Biomedical Innovation (AI4BI CDT) aims to address this challenge by training interdisciplinary researchers who would possess the technical skills, biomedical domain knowledge, and experience developing and implementing innovative AI approaches in the private and public sectors. Following the success of our predecessor CDT in Biomedical AI, UKRI have awarded us funding to train another five cohorts of students, to be recruited annually in 2024-28. The new CDT programme is grounded in our broad experience in doctoral training, defined in partnership with our external stakeholders, and centred on our research strengths in biomedical artificial intelligence. We will recruit students from different backgrounds to build truly interdisciplinary cohort with complementary knowledge. Our model is suitable for both those with relatively little prior exposure to computer science and mathematics, but who contribute essential biomedical knowledge, and those with backgrounds in computer science, mathematics or physics who wish to develop and apply methodologies to biomedicine. Our students will acquire technical skills from computer science, mathematics, and statistics, and domain knowledge from biomedical and clinical sciences. They will know how to practice responsible research, innovation and open science and will adopt best practice for minimising risk of bias in AI and ensuring model explainability. Their first-hand experience working with stakeholders and engaging in practical innovation training will enable them to deliver innovation in practice. Well-rounded training and development, collaboration and engagement opportunities provided to the students through our programme will turn them into highly competent, sought-after researchers suitable for a variety of careers both inside and outside of academia.
Employees by Management Level
Total employees: 11-20
Seniority
Employees
Employees by Department
UKRI AI Centre for Doctoral Training in Biomedical Innovation has 5 employees across 1 departments.
Departments
Number of employees
Funding Data
UKRI AI Centre for Doctoral Training in Biomedical Innovation has never raised funding before.
UKRI AI Centre for Doctoral Training in Biomedical Innovation Tech Stack
Discover the technologies and tools that power UKRI AI Centre for Doctoral Training in Biomedical Innovation's digital infrastructure, from frameworks to analytics platforms.
Web servers
Programming languages
Blogs
Hosting
Databases
Argentina
Spain
United States
South Africa
Frequently asked questions
4.8
40,000 users
