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gland biology and lung disease and a background in cellular and molecular biology. Additionally, the successful candidate will have an interest/expertise in developing novel cellular/tissue imaging
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(transcranial magnetic stimulation (TMS), intracranial electrical stimulation (iES)) concurrent with functional magnetic resonance imaging (fMRI) or intracranial electroencephalography (iEEG), and brain lesion
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. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications. Experience in MRI image
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. We have a track record of innovative human neurophysiology. This individual will collaborate extensively with Prof. Soura Dasgupta in Electrical and Computer Engineering and Prof. Ergun Uc (MD) in
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Department:Radiology Salary Salary:$50,004.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Post-Doctoral Research Fellow in Quantitative Brain Imaging The MR
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expertise and development of helper dependent adenoviral technology in combination with our imaging, biophysical, molecular, genetics and patch clamp electrophysiology to address basic questions regarding
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. Required Qualifications: Experience in biomedical research Knowledge of gene therapy techniques and microscopy/image usage. Ability to execute and follow-through to completion and documentation. Excellent
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calcium imaging to study problems that have direct relevance to human health and disease. Because we can correlate data from these techniques to work in humans, this work will uniquely matter to patients