While working here, you will support Working Group 8.42 (Data Analysis and Measurement Uncertainty) in the development of mathematical and statistical methods for solving high-dimensional inverse problems using deep learning. Our research in this field focuses on methods for approximating the posterior distribution that occurs in Bayesian inverse problems in magnetic resonance imaging. Machine learning and deep learning methods are applied here in order to statistically regularize the problem.
- Assisting in the development and implementation of statistical methods for solving high-dimensional inverse problems in magnetic resonance imaging
- Conducting comparisons with state-of-the-art methods of statistical data analysis
- Applying the developed methods to real data
PTB is an equal opportunity employer and strongly encourages applications from female candidates.
If equally suited to the position, disabled persons will be given preference.
If you are interested in this position, please contact
Dr. Manuel Marschall, phone: +49 (0)30 3481-7948, email: email@example.com
by no later than 22 June 2023.
Physikalisch-Technische Bundesanstalt | Z.1522 - Personalgewinnung | Abbestraße 2-12 | 10587 Berlin