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Field
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of working in the field of stroke genetics and have a good understanding of the MRI endpoints which we use in analysis. The post offers an opportunity to join one of the internationally leading groups in
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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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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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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(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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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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project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
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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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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
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related