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machine-learning techniques; interpretation of multimodal patterns of brain organisation; collaboration with international partners in alzheimer prevention; contribution to methodological innovation in
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quantitative methods, including computational modeling, machine learning, and analyzing structural and functional neuroimaging data. Candidates can apply online at NU Careers: They must submit a CV and Cover
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. for business and careers’ and the #10 most educated city in the U.S., and Southern Living named Durham ‘The South’s tastiest town’. To learn more, visit: http://www.workinthetriangle.com https
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity
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analysis, including statistics and machine learning techniques. Proficiency in scientific programming, especially Python and/or Matlab, and experience in shell scripting. Excellent written and oral
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, neuroimaging and clinical psychiatry, with direct clinical impact. Your main activities are: analyzing and integrating multimodal MRI data for biotype identification; applying machine learning and advanced
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a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse data and conduct advanced statistical
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grants and program project grants in the future. Individuals with innovative applications of Artificial intelligence (AI), machine learning, bioinformatics and computational models in perioperative
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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