Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
next generation neural networks for advanced analysis of image and multimodal data. Central research challenges are to develop neural networks that learn more efficiently from limited data
-
the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing
-
computational physicist for a 3-year PD position in the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging
-
, transcriptomics, antibody assays, and advanced 3D microscopy. For this, a lightsheet microscope dedicated to the imaging of cleared samples is being acquired, as well as a workstation for VR-assisted image analysis
-
adipogenesis as a paradigm to uncover new molecular pathways by which SUMOylation sustains epigenetic and transcriptional identity during cell differentiation. We expect to contribute to a broader understanding
-
the rewiring of transcriptional programs during initiation of adipogenesis is to be established. This project will utilize adipogenesis as a paradigm to uncover new molecular pathways by which SUMOylation