Post Doc Fellowship in Medical Image Analysis, Vanderbilt University, Nashville, TN
Position: Post Doc Fellowship in Medical Image Analysis
Organization: Vanderbilt University
Location: Nashville, TN
Position: Post Doc Fellowship in Medical Image Analysis
Organization: Vanderbilt University
Location: Nashville, TN
Deadline: 02-28-10
Description:
The newly formed Medical-image Analysis and Statistical Interpretation (MASI) Laboratory in the Vanderbilt University Department of Electrical Engineering and Computer Science has two openings for a postdoctoral fellows. MASI investigates new technologies and methods to enable large-scale analysis of neuroimaging data for biomedical research and clinical applications. The research is conducted in collaboration with a multidisciplinary group of scientists employing advanced volumetric-, surface-, and connectivity- based magnetic resonance imaging techniques to develop individualized brain atlases to inform studies of disease, recovery, and regeneration. These positions are funded by grants from the National Institutes of Health.
Qualifications:
We are seeking candidates who are interested in conducting these studies through image analysis, theoretical model development, statistical research, and informatics explorations. The successful candidates should be creative and able to work as part of a multi-disciplinary group with physicians, physicists, physiologists, and engineers. A PhD in EECS, Biomedical Engineering, physics, or a related field is required, and mentorship of more junior researchers will be important. Proven experience with scientific programming including Matlab, Java, or C/C++ is mandatory. Strong verbal and written communication skills and ability to multitask are also essential. Previous MRI and medical imaging experience are helpful, but not required. An interest in medically oriented signal processing and technologies to improve patient care are a must.
Contact:
Bennett Landman
Vanderbilt University EECS
2301 Vanderbilt Place, PO Box 351679 Station B
Nashville, TN 37235-1679
Phone: 410.516.6759
Email: bennett.landman@vanderbilt.edu
The newly formed Medical-image Analysis and Statistical Interpretation (MASI) Laboratory in the Vanderbilt University Department of Electrical Engineering and Computer Science has two openings for a postdoctoral fellows. MASI investigates new technologies and methods to enable large-scale analysis of neuroimaging data for biomedical research and clinical applications. The research is conducted in collaboration with a multidisciplinary group of scientists employing advanced volumetric-, surface-, and connectivity- based magnetic resonance imaging techniques to develop individualized brain atlases to inform studies of disease, recovery, and regeneration. These positions are funded by grants from the National Institutes of Health.
Qualifications:
We are seeking candidates who are interested in conducting these studies through image analysis, theoretical model development, statistical research, and informatics explorations. The successful candidates should be creative and able to work as part of a multi-disciplinary group with physicians, physicists, physiologists, and engineers. A PhD in EECS, Biomedical Engineering, physics, or a related field is required, and mentorship of more junior researchers will be important. Proven experience with scientific programming including Matlab, Java, or C/C++ is mandatory. Strong verbal and written communication skills and ability to multitask are also essential. Previous MRI and medical imaging experience are helpful, but not required. An interest in medically oriented signal processing and technologies to improve patient care are a must.
Contact:
Bennett Landman
Vanderbilt University EECS
2301 Vanderbilt Place, PO Box 351679 Station B
Nashville, TN 37235-1679
Phone: 410.516.6759
Email: bennett.landman@vanderbilt.edu
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