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Neuroscience on object representation and object properties using machine learning and multivariate techniques to analyze the data; support in writing scientific outputs. The grantee will also support the entire
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to be able to independently operate the 3T & 7T scanner consoles Learn and train others on the CNS Lab developmental neuroimaging standard operating procedures Assist with the collection of MRI data (may
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The Department of Psychology and the
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sources) Proficiency in advanced research methodologies, which may include: Neuroimaging (e.g., fMRI, EEG, fNIRS) Computational modeling or machine learning Brain stimulation techniques (e.g., TMS, tDCS
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research centers on human cognition using invasive and/or non-invasive neuromodulation (e.g., DBS, SEEG/ECoG, TMS/tDCS, FUS) and electrophysiology (e.g., intracranial, EEG/MEG) or neuroimaging, with strong