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Field
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to evaluate novel MRI technologies and apply these technologies to assess clinical outcomes. The candidate will be expected to participate in study participant screening and recruitment, operation of
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). The position is embedded in a translational environment supporting integration of MEG with structural MRI, diffusion imaging (DTI), fMRI, PET, and complementary clinical/research measures, with access to high
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in secure environments Background in medical image analysis (CT/MRI preferred) Knowledge of detection, segmentation, and model development methods Interest in multimodal or longitudinal clinical data
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literature search and preregistered meta-analysis Coordinate MRI data collection with the technical team at the Leiden University Medical Center (LUMC) Perform fMRI preprocessing and statistical analyses
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MRI (fMRI), functional Ultrasound Imaging (fUSi) and computational modelling of emotion-related behaviours. This is an exceptional opportunity to develop your research portfolio within a team of
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NIMH-funded longitudinal functional MRI (fMRI) study of threat perception in children. Other current lab projects include analysis of extant fMRI datasets related to visual perception, as well as fMRI
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(e.g., ABCD, AMP-SCZ) as well as an existing weekly longitudinal precision functional mapping (PFM) dataset that integrates repeated MRI, behavioral assessments, and symptom monitoring within individuals
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. You will develop methods to integrate diverse medical imaging modalities (e.g., X-rays, MRI, Ultrasound) with Electronic Health Record (EHR) data across heterogeneous cohorts and healthcare systems
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existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI
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developmental research protocols for pediatric populations with neurodevelopmental conditions Facilitating practice and behavioral preparation for MRI scans with participants, as well as with MRI data collection