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together expertise from psychology, neuroscience, psychiatry, music therapy, and addiction research. The PhD project will focus on the neuroimaging component of FALCO, using structural and functional MRI
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or AI/machine learning/NeuroAI. For candidates with a neuroimaging background, this may include experience with data acquisition, preprocessing, and/or analysis; experience with fMRI is preferred, but
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multivariate, statistical-genetic or machine-learning approaches. · Research involving developmental, ageing or neuropsychiatric cohorts, including longitudinal or large-scale population datasets. · High
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Neuroimaging, Health Physics and Diagnostic Sciences, School of Integrated Health Sciences [R0153454] ROLE
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programming (e.g. Python, MATLAB or R) Experience applying advanced analytical techniques, including machine learning, to complex datasets Experience with neuroimaging analysis (MRI/fMRI) is desirable Strong
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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of machine learning, neuroimaging and Psychiatry, developing methods with the potential to improve our ability to predict clinical outcomes. They will have the opportunity to work with rich brain MRI datasets
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the