Postdoc in machine learning for diffusion and functional MRI (KTH Royal Institute of Technology)
Thursday 1st April 2021
Closing Date: 30th of April 2021
Medical imaging modalities such as Magnetic Resonance Imaging (MRI) often produce complex image data in vector or tensor format, e.g. diffusion MRI or functional MRI. For the computationally demanding post-processing of such data, we use modern machine learning techniques like convolutional neural networks, graph convolutional networks and reinforcement learning. This project will deal with developing, adapting and applying such techniques to imaging data from patients with neurodegenerative diseases, available to us thanks to our close cooperation with Karolinska Institute.
The candidate must have a strong background in at least one of the following areas: neuroimaging including connectomics, medical image processing, machine learning or a similar subject.
Proficiency in English orally and in writing is required to present and publish research results.
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|Organization||KTH Royal Institute of Technology|
|Title||Postdoc in machine learning for diffusion and functional MRI|