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Field
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: Psychology, Psychiatry and Neuroscience category. Dynamic neuroimaging is a particular strength of theSPN and is supported by a range of in-house technologies such as a 3T MRI scanner, several EEG and brain
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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engineering support. Ongoing projects in lab include structural and functional magnetic resonance imaging (MRI) of developing children, and clinical conditions including autism, traumatic brain injury, diabetes
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the impacts of perinatal exposures to substances and childhood environments on developmental trajectories. Data from this comprehensive study will include infant MRI, EEG, neurodevelopmental testing
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addition, the successful applicant will interact with faculty in the Department of Radiation Oncology, which has a dedicated Siemens 3T MRI scanner used for treatment planning as well as an Elekta MRI-Linac
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innovative experimental concepts, designing and programming studies, conducting MRI experiments, analyzing and interpreting data, and preparing manuscripts for submission to peer-reviewed journals. In addition
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Doctor degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Experience in working with an MRI scanner Experience in developing state-of-the-art
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diffusion MRI data, and one position will be focused on candidates with especially strong data science skills. Job Responsibilities: Generation of Scientific Products (70%) Process and analyze data Publish
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SPECIFICS The Materials Research Institute (MRI) at Penn State seeks outstanding applicants for a Postdoctoral Scholar position focused on metalorganic chemical vapor deposition (MOCVD) growth and
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, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI