Robust Machine Learning for Real-World Applications
5 days ago
We are a dynamic team of researchers working on exciting projects in machine learning and healthcare. Our project, funded by the Novo Nordisk Foundation, aims to redesign machine learning competitions to prioritize algorithm robustness.
We believe that by combining expertise from machine learning, healthcare, and competition design, we can create innovative solutions for real-world challenges.
As a member of our team, you will have the opportunity to work on cutting-edge research topics and collaborate with international teams.
- Team Values:
- Innovation and creativity
- Collaboration and teamwork
- Open communication and feedback
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Copenhagen, Copenhagen, Denmark ELLIS Full timeOur Research GoalsWe aim to redesign machine learning competitions to promote algorithm robustness. Current competitions often prioritize accuracy over other important factors, leading to algorithms that struggle in real-world applications.Our research focuses on developing novel methods to evaluate and increase the diversity of evaluation data. We will also...