As part of a research project on stress in late-life depression, the Laboratory for Translational Neuropsychiatry at KU Leuven, Belgium (https://gbiomed.kuleuven.be/english/research/50000666/50000673/ltnp) is seeking highly motivated candidates for a PhD position on Multimodal Neuroimaging Data Analysis.
The group investigates behavioral, structural and functional brain changes in late-life neuropsychiatric disorders.
The successful applicant will develop, implement and apply advanced image analysis techniques on in-vivo multimodal brain (f)MRI and PET-data as well as behavioral and peripheral physiological measures such as Galvanic Skin Response, Heart Rate Variability, Activity and Body Temperature from cohorts of healthy older adults and patients suffering from late-life depression. The work will be performed in a multidisciplinary team consisting of clinicians and scientists.
The focus of the project will lie on the development and implementation of image analysis techniques for structural and functional (task-based and resting-state) MRI as well as on PET (tau, synaptic density, amyloid) brain imaging, including longitudinal analysis (pre and post ECT), integration of functional and structural information, analysis of functional and structural brain networks, multi-voxel pattern analysis, in combination with analysis of skin conductance, skin temperature, heart rate and activity measures.
Position Qualifications Include:
Degree in Biomedical Engineering, Electrical Engineering, Medical Physics, Computer Science or related discipline.
Experience in one or more of the following areas are desirable:
- analysis of functional MRI or PET data
- longitudinal analysis of brain imaging data
- machine learning
- MRI of brain microstructure using diffusion imaging
- MR perfusion
- integration of functional and structural information
- network-based functional and structural brain analysis
Strong programming skills, communication and analytical skills, ability to prioritize and manage own work, interest in collaborative, multidisciplinary teamwork, detail-orientation and ability to work independently are a plus.
If you are interested, please send your CV and motivation letter to Prof. dr. Jan Van den Stock ([log in to unmask])
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