The Computer Vision Intern is available to working toward a master's or higher degree level in biomedical/electrical engineering, computer science, physics or related field. You must have practical experience with image processing methods as well as building convolutional neural network, experienced with PyTorch or Tensorflow, and familiarity with state of the art classification models (i.e. ResNet) as well as segmentation models (i.e. UNet) to be considered for this position. As an intern, you will develop image analysis algorithms and deep learning architectures to solve exciting clinical problems.