Not specified
Mar 03, 2026
Denmark
team, consortium
About This Opportunity
The Data Science Collaborative Research Programme aims to support synergistic research collaborations rooted in data science and computational science with immediate or potential future applications within areas of relevance to the Novo Nordisk Foundation's strategy. The programme seeks to foster research collaborations between data scientists and experts in other fields, including medicine, biology, biotechnology, physics, and chemistry. Research proposals should address the development of new algorithms, methods and technologies within data science, computational science, artificial intelligence, machine learning, statistics, bioinformatics, and other computational sciences, and/or applications of these methods to areas relevant to life science, biomedical and health science, public and global health, infectious disease, sustainability, green transition, agriculture, and natural and technical sciences. The programme aims to support an excellent academic research and education ecosystem within data science in Denmark while advancing education and training courses in data science-related topics.
Who Can Apply
- Region
- Denmark
- Residency
- Denmark
- Project in
- Denmark
- Applicants
- team, consortium
- Organizations
- academic
Application Details
Stages
- 1 two_stage
Required documents
Review process
Two-phase process: Phase 1 requires full application (30,000 characters max). Top ranked applicants are invited to Phase 2 to present and discuss their research projects with the review committee.
Additional benefits
- training
Restrictions
- reporting_requirements
Post-award obligations
- final_report
- acknowledge_funder
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
-
March 03, 2026 at 23:59 UTCDue today!
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