learn_bAIome offers workshops and trainings in biomedical AI/data science with tailored formats that take into account background, programming skills and intensity to provide unique, focused, and effective courses. These courses are free and open to students, clinicians, and researchers across academic institutions in Hamburg.
Prerequisites: Intermediate level computational background and basic knowledge of machine learning
Description: This 3-day international workshop is organised by University of Hamburg’s European University Alliance for Global Health (EUGLOH), Hub of Computing and Data Science (HCDS) and Center for Biomedical AI at UKE (bAIome) to foster international exchange and cooperation among students and researchers working in machine learning relating to biomedical questions. The vision is to create a supportive network and inspire international collaborations.
The workshop will explore various aspects of machine learning using biomedical data with the hands-on practical projects providing the main focus, allowing participants to work in a team environment to understand how machine learning is applied to specific biomedical challenges.
For further details and registration check out the EUGLOH website