-
consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process monitoring, non-destructive structural testing and satellite data
-
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
-
protein crystallization core facility operation and related projects. The successful candidate will work on protein production and molecular interaction studies of complement proteins protective of neuronal
-
protein crystallization core facility operation and related projects. The successful candidate will work on protein production and molecular interaction studies of complement proteins protective of neuronal
-
create scalable and multimodal machine learning techniques utilizing genome, transcriptome, epigenome and imaging data to build clinically useful computational tools. The Precision Cancer Epigenomics group