PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute

About the role

Recent advances in machine learning and deep learning are opening new possibilities for computational imaging, including the reconstruction of complex 3D structures from experimental imaging data. In this fully funded PhD project at DTU Compute, you will develop novel learning-based methods for X-ray nano-tomography. As state-of-the-art synchrotron imaging systems push towards ever higher spatial resolution, even minute positioning errors…

Skills

Excerpt of a job ad published on efzu.fa.em2.oraclecloud.com. Read the full ad there.