Sort by
Refine Your Search
-
Employer
- European Space Agency
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Delft University of Technology (TU Delft)
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University of Groningen
-
Field
-
In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
-
learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
-
-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains
-
learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
-
settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on obtaining external funding and project
-
of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
-
Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
-
precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC) of the tongue is a rare yet
-
surgeons to achieve more precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC
-
that bridge the gap between preclinical research and clinical applications. Within the GROW Research Institute for Oncology and Reproduction, the MAASTRO Physics Research Division plays a leading role in