Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
models to profile cell and tissue samples imaged using 2/3D microscopy. The group is specifically focused on applying self-supervised representation learning and generative AI in computer vision to improve
-
utilize cutting-edge long-read nanopore sequencing combined with deep machine learning approaches to model the epigenetic changes and mutational mechanisms in cancers originating from endodermal tissues
-
secondary position that they apply to from the projects offered in this call listed below. A detailed description of the projects can be found in the announcement: DREAM projects RU Mathematical Sciences
-
of Education and Culture, starting 1 August 2024. ImmuDocs aims to educate a new generation of experts in immunology, immunology-based drug development, and/or diagnostics. The project is coordinated