Join a three-day event where teams tackle real-world microscopy challenges, develop innovative solutions, and compete for prizes. Bring your creativity and collaborate across disciplines!
Overview
The Machine Learning for Microscopy Hackathon is a hands-on event that brings together researchers, students, and professionals to solve real microscopy problems using AI and data-driven tools. Participants work in small interdisciplinary teams to explore imaging, spectroscopy, and automation challenges, learning from mentors and peers along the way.
Location: The CHAIR meeting place, Physics Origo building, Room F-6144 and F-6145.
Read more at the Hackathon page.
AI for Scientific Data Analysis
This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.
Jesus Manuel Antunez Dominguez
- Postdoc, Institution of physics at Gothenburg University
Jesus Manuel Antunez Dominguez
- Postdoc, Institution of physics at Gothenburg University