Post-Doctoral Research Position Statistical Methods for Neuroimaging Data Analysis
- Employer
- National Institutes of Health
- Location
- Bethesda, MD
- Closing date
- Jan 19, 2022
View more
- Sector
- Pharmaceutical, Data Management/Statistics
- Organization Type
- Corporate
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Job Description
Post-Doctoral Research Position
Statistical Methods for Neuroimaging Data Analysis
Laboratory on Quantitative Medical Imaging (QMI)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
National Institutes of Health (NIH)
The Laboratory on Quantitative Medical Imaging (QMI) in the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in the National Institutes of Health (NIH) is soliciting applications from post-doctoral level scientists interested in the development and application of statistical methods for the analysis of quantitative data in neuroimaging (with emphasis on quantitative diffusion magnetic resonance imaging, or MRI).
QMI has a long-standing history of developing methods that increase accuracy and reproducibility of quantitative structural MRI studies with the goal of developing robust MRI-based biomarkers for both neurological and non-neurological clinical applications. For a general overview about QMIs research projects and publications, please refer to https://www.nibib.nih.gov/labs-at-nibib/quantitative-medical-imaging.
Resources: QMI is part of the larger MRI research community at NIH, which has active programs in clinical and preclinical research. Equipment available in the NIH MRI Research Facility includes 3T and 7T human scanners and 4.7T, 7T, 9.4T and 11.7T animal scanners. Recently, we procured a high-performance gradient insert for a GE 3T MRI system and a field camera will be available soon to monitor real k-space trajectories. We are developing a number of human brain imaging applications on this system. This will lead to the availability of data of unprecedented quality, both in-vivo and ex-vivo, that will open new avenues for the understanding of brain structure, architecture, perfusion dynamics, morphology, and physiology.
We are involved in several collaborative clinical studies, including research that concentrates on multiple sclerosis, postnatal brain development and prematurity, and pre-surgical planning for focused ultrasound therapy in essential tremor.
Finally, we are creating high-quality anatomical atlases that could be used for the analysis of data available from large multicenter studies.
YourMembership. Keywords: Research Associate, Location: Bethesda, MD - 20892
Post-Doctoral Research Position
Statistical Methods for Neuroimaging Data Analysis
Laboratory on Quantitative Medical Imaging (QMI)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
National Institutes of Health (NIH)
The Laboratory on Quantitative Medical Imaging (QMI) in the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) in the National Institutes of Health (NIH) is soliciting applications from post-doctoral level scientists interested in the development and application of statistical methods for the analysis of quantitative data in neuroimaging (with emphasis on quantitative diffusion magnetic resonance imaging, or MRI).
QMI has a long-standing history of developing methods that increase accuracy and reproducibility of quantitative structural MRI studies with the goal of developing robust MRI-based biomarkers for both neurological and non-neurological clinical applications. For a general overview about QMIs research projects and publications, please refer to https://www.nibib.nih.gov/labs-at-nibib/quantitative-medical-imaging.
Resources: QMI is part of the larger MRI research community at NIH, which has active programs in clinical and preclinical research. Equipment available in the NIH MRI Research Facility includes 3T and 7T human scanners and 4.7T, 7T, 9.4T and 11.7T animal scanners. Recently, we procured a high-performance gradient insert for a GE 3T MRI system and a field camera will be available soon to monitor real k-space trajectories. We are developing a number of human brain imaging applications on this system. This will lead to the availability of data of unprecedented quality, both in-vivo and ex-vivo, that will open new avenues for the understanding of brain structure, architecture, perfusion dynamics, morphology, and physiology.
We are involved in several collaborative clinical studies, including research that concentrates on multiple sclerosis, postnatal brain development and prematurity, and pre-surgical planning for focused ultrasound therapy in essential tremor.
Finally, we are creating high-quality anatomical atlases that could be used for the analysis of data available from large multicenter studies.
YourMembership. Keywords: Research Associate, Location: Bethesda, MD - 20892
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