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Field
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, linear accelerators, MRI scanners, PET, or other scientific/medical devices working with electrophysiology data working with a variety of experts in different fields (e.g., radiation oncologists
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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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., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB). Additional Information
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performing neuro-behavioral and/or neuro-physiological experiments, including visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally
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of Diagnostic Radiology & Nuclear Medicine at University of Maryland School of Medicine has an opening for MRI Scientists with a background in pulse sequence development and/or reconstruction techniques. The MRI
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project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
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advanced molecular imaging (MRI/MPI) to optimize the delivery, biodistribution, and therapeutic outcomes of neurorestorative interventions for hemorrhagic injury using rodent models. The project will involve
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-of-the-art MRI scanners (including one new 7T scanner) as well as MEG (Elekta Neuromag TRIUX 306-channel system). If you are at the end of your PhD and expect to defend your thesis within 6 months (and may not
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neuroimaging data analysis, including structural and functional MRI Familiarity with established neuroimaging software packages such as SPM, FSL, FreeSurfer, AFNI, or equivalent tools Experience with machine
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quality of publications. Prior experience collecting in-person data from human participants. Basic proficiency in computer programming. Experience with functional MRI data collection and processing