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combined cerebral, brainstem, and spinal cord fMRI together with clinical neurophysiology to elucidate the neural mechanisms of human motor and sensory control, and to translate these findings
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broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI) data from studies examining neurodevelopmental mechanisms of social information processing (e.g., learning, emotion
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, including years of work experience. Generally, NIH guidelines for postdoctoral fellows are followed based on your post-doctoral years of experience (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25
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neuroimaging and the exploration of latent spaces. 2. Develop methods for exploring the latent spaces of generative models using neuroimaging data (fMRI). 3. Test the developed approach, evaluating
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or radiologist) -Analysis of behavioural and fMRI, DTI or anatomical data (depending on what the fellow wants to learn) -Activities, which are required from a PhD student (e.g., pre-defense, attending obligatory
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well as conducting analysis of existing data, which can range broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI) data from studies examining neurodevelopmental mechanisms of social
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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and