Module IV
Neuroimaging Physics and Signal Processing

Projects in this module typically focus on the physical principles of modern neuroimaging techniques including RF technology, image processing strategies, and EEG/MEG source analysis, on biophysical tissue properties and their relation to microstructure and function, as well as on computational neuroscience and modelling of cortical networks. Experimentally, these efforts are supported through access to cutting-edge imaging technology, including a state-of-the-art 7T whole-body MRI scanner, a 3T scanner with 300mT/m high-performance gradients or a 306-channel MEG system.

Candidates should have a very good master's degree, preferably in physics or, alternatively, in physical chemistry, computer sciences, biomedical or electrical engineering or a similar degree of equivalent academic level. A genuine interest in developing novel biomedical imaging or neuromodeling should motivate your application.  Good programming skills, preferably with experience in MATLAB, C++ or Python, are essential.

One main research topic of our department is (neuro-inspired) signal processing for all kinds of applications. This includes especially all applications directly related to a more or less direct information exchange via different types of sensors and actuators with the nervous system (BCI, biofeedback etc.). more
Our research topic concerns the investigation of electronic properties of solids with magnetic resonance. We use and advance magnetic resonance techniques to obtain unique insight into the electronic and chemical structure of materials including host-guest interactions. more
My research focuses on medical visualization and data analysis: The goal is to make use of all available data to guide reasoning and understanding of the information that is contained inside the data. more
biophysical modelling of EEG and MEG | computational modelling of neural networks | reconstruction of fiber connections with diffusion MRI, diffusion tractography, connectivity-based parcellation more
My research focuses on the use of magnetoencephalography in cognitive neuroscience with special focus on language processing. Consequently, I am interested in all methodological developments which improve the localization of brain activity in both respects spatial accuracy and temporal evolution. more
Our group is engaged in the development of methods for magnetic resonance imaging (MRI) and spectroscopy (MRS) including pulse sequences, RF hardware and image processing. more
My research is aimed at investigating longitudinal effects of treatment onto brain function and connectivity in neurodegenerative disease. more
We are interested in understanding functional implications of large-scale spatio-temporal neuronal complexity in the human brain. more
Experimental techniques such as high-resolution, multi-contrast MRI, 4D light-sheet microscopy, or single-cell sequencing provide unprecedented, unique insights into life's inner workings across scales. more
My research group addresses visual data analysis which includes mathematical data analysis, scientific visualization, information visualization and visual analytics. more
Our research topic concerns the investigation of electronic properties of solids with magnetic resonance. more
Our vision is to develop and apply functional microstructure imaging and in-vivo histology using magnetic resonance imaging (MRI) as novel non-invasive MRI methods to reliably characterize the detailed functional and anatomical microstructure of the human brain. more
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