With great support from NFDI4BIOIMAGE, the I3D:bio project, SFB 1551, and the IQCB, this workshop will focus on the management of image data from various advanced imaging techniques, including light microscopy, electron microscopy, and medical imaging (X-ray, CT, MRI, etc.). The workshop will feature OMERO, a powerful data management platform designed to streamline the organization, storage, annotation, and analysis of complex image datasets. Additionally, you will learn about the existing infrastructure and the ongoing initiative to establish an OMERO server at JGU, which will soon be accessible to all researchers on campus.

The hands-on session, scheduled from 2 PM to 4 PM, is limited to 20 participants. Therefore, prior registration is required. Please register here

This Gutenberg Workshop will provide a fascinating journey through the world of automated scientific discovery, driven by artificial intelligence. It is organized around the following four main themes:

1. Automation and autonomy in science

2. Applications of AI, with an emphasis on, but not exclusively, the life sciences

3. Equation discovery, symbolic regression, and the induction of process models

4. Integration efforts

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Flyer

Registration

with

Heiko Runz, EMBL Heidelberg, Heidelberg-Mannheim Health + Life Science Alliance      
Juha Karjalainen, Regeneron Genetics Center/ FIMM / Broad Institute      
Helena Cornu, Open Targets / European Bioinformatics Institute

In this hands-on session, you will have the opportunity to explore and analyze human genetic and      
genomic datasets to address questions related to specific genes or topics of your choice. Learn how      
to extract genetic hypotheses regarding rare & common diseases related to your genes of interest      
from human population cohorts.

Target group: Advanced Life Science researchers from JGU, IMB, LIR, UM, TRON

Fee: 50 EUR

Also join the “Under The Hood” Seminar with Juha Karjalainen after the workshop at 3:30 PM. Read more here

This winter school aims to explore the role of self-organization in machine learning, focusing on the latest research and applications. The topic will be based on the research.

This workshop aims to bring together experts from a broad range of different perspectives and backgrounds regarding their scientific research and AI driven computational methods with early researchers to strengthen the interdisciplinary dialog for science informed modelling and machine learning techniques.

Read more here

Link to Program