Postdoctoral Fellow in Deep Learning & AI-based quantitative MRI for Precision Medicine
Sunday 12th January 2020
Technion - Israel Institute of Technology
We are looking for a highly motivated postdoctoral fellow at the newly established Technion's Computational MRI lab (TCML) at the faculty of Biomedical Engineering of the Technion – Israel Institute of Technology. The major focus of the lab is to improve 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. We have access to a high-performance computing cluster which allows us to leverage deep-learning technologies at a scale and to a 3T human MRI scanner dedicated to research. Our current efforts are focusing around improving our capacity to quantify physiological properties from DW-MRI using deep-learning approaches with applications in Crohn's disease and fetal imaging.
We are part of the faculty of biomedical engineering at the Technion. The Technion - Israel Institute of Technology is Israel’s premier center of science and technology education and applied research. It is ranked among the world’s best science and technology universities and is recognized as a global leader in cutting-edge research, innovation, and entrepreneurship. Technion’s powerful synergy with the tech sector in Israel has created an ecosystem of technological innovation, attracting numerous international tech giants such as Google, Apple and Microsoft, and inspiring hundreds of start-up enterprises in Israel and throughout the world.
The ideal candidate should:
• Hold a Ph.D. in biomedical engineering/electrical engineering/computer science or engineering/Physics/MRI.
• Have strong programming skills, preferably in Python, and/or C++.
• Have expertise in machine/deep learning and/or in MRI acquisition and analysis.
Interested applicants should send a file including a CV, a publications list, names of three references, and a short research plan outline (up to one page in length) to:
Dr. Moti Freiman: firstname.lastname@example.org
|Organization||Technion - Israel Institute of Technology|
|Title||Postdoctoral Fellow in Deep Learning & AI-based quantitative MRI for Precision Medicine|