Sort by
Refine Your Search
-
. Presently DEEP is made up of 25 research groups, 35 PhD-students and 10 postdocs. The research environment is characterized by its international focus and collaborative and stimulating working environment
-
include Drive research projects which include analysis of tissue images from multiplex immunofluorescence, spatial proteomics and transcriptomics Drive development of deep learning and computer vision tools
-
research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
-
methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and
-
likely to lead to a certain evolutionary trajectory. The postdoc is expected to primarily contribute to the experimental part of the project but work in collaboration with theoreticians. Further details
-
, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab