PhD Student with the Technion Computational MRI Lab (Technion Israel Institute of Technology)
Thursday 24th December 2020
Improving patient care through better characterization of the underlying physiological and structural factors in human diseases by developing novel deep-learning-based methods for MRI acquisition and analysis.
The recently established Technion Computational MRI Lab (TCML) is seeking a motivated, creative PhD student interested in joining this dynamic field. We are currently looking for a PhD student to work on the development of a 3D processing technique for automatic virtual unfolding and assessing disease extent in Magnetic Resonance Enterography data of Crohn’s disease. This work will be done in collaboration with Dr. Anat Ilivitzki from Rambam as we seek to test our methods in a clinical environment.
Requirements for this position include:
● Relevant background in biomedical engineering/ electrical engineering/computer science or engineering
● Strong programming skills, preferably in Python, and/or C++
● Experience in image processing/computer vision
● Experience in machine/deep learning and/or MRI acquisition and analysis are preferable
|Organization||Technion Israel Institute of Technology|
|Title||PhD Student with the Technion Computational MRI Lab|