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We are recruiting a postdoctoral fellow, who will conduct research in the field of medical image processing targeting high-dimensional brain imaging data.
Medical imaging modalities such as Magnetic Resonance Imaging (MRI) often produce complex image data in vector or tensor format, e.g. diffusion tensor MRI, functional MRI or MR elastography. 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.
dBRAIN is an interdisciplinary initiative at KTH to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neuronal networks at multiple scales to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies.
As a postdoc you will independently develop such methods, resulting in scientific publications and presentations at international conferences.
Read more about what it is like to work at KTH
Requirements
Preferred qualifications
Great emphasis will be placed on personal competency.
You will find contact information to trade union representatives at KTH's webbpage.
Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The application must include:
The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
---|---|
Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Flemingsberg |
County | Stockholms län |
Country | Sweden |
Reference number | C-2023-0387 |
Contact |
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Published | 23.Feb.2023 |
Last application date | 23.Mar.2023 11:59 PM CET |