EVOLVE Distributed In-Person Training Course: Intro to BioImaging Analysis with Python for Life Scientists

After a very successful first edition, Euro-BioImaging is proud to announce the second edition of the distributed training course for "Intro to BioImage Analysis with Python for Life Scientists" from June 23rd to 25th 2026. This course is jointly organised by four Euro-BioImaging Nodes and will be run at four connected training centres that are part of Euro-BioImaging:

• University of Gothenburg, Sweden - NMI Sweden Node
• Gulbenkian Institute of Molecular Medicine (GIMM), Oeiras, Portugal - PPBI Node
• The Francis Crick Institute, London and University of Liverpool, Liverpool - UK Node
• BIOCEV, Vestec, Czech Republic - Prague Node

Distributed in-person training

This course is organised under the EVOLVE project (Grant agreement N° 101130986) as part of Euro-BioImaging’ effort in increasing the adoption of hybrid training thus combining the advantages of remote and in-person training.

This distributed course will be held in person at the four locations and the four local training hubs will be remotely connected and jointly going through the training programme provided each day by one of the sites. 

This means that students can enjoy the advantages of small in-person training - connecting with their fellow students and direct support from their trainers - as well as being connected on an international level and benefit from the training and image analysis expertise at all the training centres.

Target audience for the course 

The course is designed for life science researchers with some Image Analysis experience who want to push their analysis capabilities to the next level by using Python and Jupyter Notebooks, as well as implementing and applying analysis tools developed by the community for their image analysis challenges.

Financial support to cover travel and accommodation is available upon request and for a limited number of participants.  

Practical information

More details on the training program and prerequisites can be found here .

Registration is open until April 15th , and local travel grants are available here.

Connecting EU projects

This course is a follow up to the first version organised as part of the Euro-BioImaging involvement in the eRImote project, focussing on "Remote and Virtual Access to Research Infrastructure Services", and a significant component of the training will build on the outcomes from the AI4Life project. This part of the training will familiarise students with the BioImage Model Zoo and ZeroCostDL4Mic.

The course will implement BAND as a backup joint virtual platform for students unable to meet course working environment requirements. BAND was developed as part of the Euro-BioImaging involvement in the EOSC-Life project by Jean-Karim Heriche and Yi Sun from EMBL [link]. 

This training event also benefits from the EGI Training Infrastructure service supported by national resource providers in the EGI Federation. In particular, CESNET is providing the computational resources and support to host BAND for this training event.

This activity, therefore, brings together outputs and initiatives from different EU projects and collaborations in the European data space to benefit life science researchers and make new ways of training possible.