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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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-state fMRI data. The candidate should possess interdisciplinary expertise, with a solid background in cognitive, computational, and social neuroscience. Prior research experience and a proven scientific
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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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semantic integration, combining a high-powered preregistered fMRI replication study, functional connectivity analyses, and a preregistered meta-analysis of the neuroimaging literature. The intended starting
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Post-Doctoral Position - fMRI - (220000FO) Description: The Center for Advanced Imaging Research (CAIR) in the Department of Radiology & Nuclear Medicine at the University of Maryland School
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Post-Doctoral Position - fMRI - (210001PR) Description: The Center for Advanced Imaging Research (CAIR) in the Department of Radiology & Nuclear Medicine at the University of Maryland School
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 8 hours ago
performing preclinical fMRI or fUSI studies, including data analysis, rodent handling, surgery and behavioral experiments. Strong programming skills (e.g., Matlab, Python) are required. Additional knowledge
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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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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data analytics to uncover and predict patterns in large multimodal datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement