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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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brain. Our group has access to a large (~400 patients) dataset of multimodal neuroimaging and clinical data from ALS patients. By integrating multimodal patient data (MRI, DTI, fMRI, EEG/MEG) into
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. Our research integrates clinical, neuroimaging, physiological, and immunological data to advance mechanistic models of severe mental illness. Relevant links: https://tmu.pure.elsevier.com/en/persons
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aims to identify neuroimaging biomarkers linked to self-representation that can predict depression outcomes in individuals suffering from chronic pain. Project description: The study focuses
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SPECIFICS The Cognition, Affect, and Temperament Laboratory at The Pennsylvania State University, headed by Dr. Koraly Pérez-Edgar, seeks a Postdoctoral Scholar (http://www.catlabpsu.com ). Ideal start date
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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Posting Summary Logo Posting Number RTF00291PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Computational Modelling/advanced neuroimaging data processing skills/big data processing techniques. They should have a strong interest in experimental research and demonstrated scientific expertise and excellent
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related to staff position within a Research Infrastructure? No Offer Description Full-time, fixed term opportunity for two years Position description: Postdoctoral Research Associate in Neuroimaging
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 15 days ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and