PhD Candidate in Clinical Neuroimaging at the Donders Centre for Cognition

Updated: about 2 months ago
Job Type: Temporary
Deadline: 11 Jul 2022

In a world of diversity, the quest of interindividual variability has led to the new discipline of precision medicine in the medical world. We are only at the cusp of understanding how variable we are and what these differences mean for our behaviours in a clinical setting. The Donders Institute for Brain, Cognition and Behaviour is looking for a motivated PhD candidate to contribute to the further modelling of brain variability in order to unravel the power of defining individualised predictions based on recovery phenotypes.

In this project we work together toward improving clinical long-term predications using machine learning algorithms and anatomical markers of recovery.

As a PhD candidate you will use a computational machine learning approach to model brain variability and cognitive profiles to predict recovery in patients. The research will be conducted at the Donders Institute for Brain, Cognition and Behaviour of Radboud University (Nijmegen, Netherlands). You will be supervised by a team of clinical neuroscientists and psycholinguists with complementary expertise: Assistant Prof. Stephanie Forkel and Prof. James McQueen . You will be an active team member of the Clinical Neuroanatomy & Science lab, a research group examining connectional brain anatomy and cognition in health and disease (stroke, tumours).

You will develop tools to predict recovery exploiting 2 stroke datasets with language and visuospatial assessments within a dimensional reduction framework. This project opens the possibility of defining individualised predictions based on recovery phenotypes.


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