-
of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
-
. This should include a description of a deep learning project that you have executed, ideally a creative use of a transformer-based or related architecture that you trained yourself. If it is in the sequence
-
use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
-
, hands-on work. We share our methods, results, and tools with the scientific community. About the Role: We are seeking a highly dedicated and skilled scientist with a PhD in Spatial Transcriptomics