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(NVS), particularly in epilepsy. designing, implementing, and validating numerical solvers using MATLAB and Python, leveraging realistic brain geometries derived from MRI. integrating multimodal
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addition, the successful applicant will interact with faculty in the Department of Radiation Oncology, which has a dedicated Siemens 3T MRI scanner used for treatment planning as well as an Elekta MRI-Linac
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. Preferred Qualifications Strong experience in statistics, MRI data analysis and data visualizalization methods, and integration of neuroimaging and physiological data with participant clinical/behavioral
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and behaviour. With state-of-the-art MRI, PET, and EEG facilities, the CNS provides a dynamic environment for investigating the neurobiological mechanisms underlying mental health and the effects
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Health Index for 10 years or more. The Project performs comprehensive brain imaging (MRI, fMRI, DTI, and others) with a goal of 12,000 participants. The BrainHealth Project offers research opportunities
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spatio-temporal generative models, and multimodal foundation models—including vision-language MLLMs and agentic AI frameworks—for longitudinal MRI and clinical data. Fellows will help build next-generation
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: Essential criteria PhD awarded in cardiovascular related research * Experience in cardiac MRI data acquisition and analysis in animal models of heart disease Experience with preclinical research models
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in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For more information on the The Targeted Treatments Laboratory please visit www.onetarget.us . Trains under
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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data with advanced methods such as flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. Work with team members across different disciplines such as chemistry, biology