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, and should possess a PhD and/or MD-PhD with extensive experiences in related fields. Preference will be given to candidates with advanced expertise and in-depth knowledge of neuroimaging and brain
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/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/ . Application Procedure Applicants should visit https
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. Candidates with experience in dimension reduction, deep learning, machine learning, modeling neuroimaging data are especially encouraged to apply. Excellent written and communication skills are required
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individuals and patients. These projects involve large-scale neuroimaging data collection at 3T and 7T, computational modeling of brain responses using machine learning methods, and cross-institutional clinical
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or machine learning applied to brain signals would be an advantage. We are seeking a highly motivated, rigorous and inquisitive researcher, ready to commit to a project at the interface between basic and
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vacancy, you can contact: Claire Stevenson, c.e.stevenson@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs/360380/phd-position-in-cognitive-neuro… Requirements Additional Information
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connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical
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Responsibilities This analyst will work under the guidance of investigator in the Center for Biomedical image Computing and Analytics (http://www.cbica.upen n.edu/, CBICA), Aris Sotiras, PhD. The work involves
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
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software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical