Postdoctoral Fellow
University of Missouri - Columbia (MU)
Columbia, MO
Full-time
Education
Posted on April 2, 2024
Job Description
Our lab has a focus on ultra-high field (i.e., 7T) magnetic resonance imaging (MRI) and spectroscopy (MRS) of the human brain. One of our projects is the nation-wide, NIH funded “Adult Aging Brain Connectome” (AABC). The AABC is a continuation of the recently completed human connectome project on aging, and an ongoing project that adds 7T MRS to the dataset. The AABC will collect extensive imaging, health, behavioral, socioeconomic, and other data on over 1000 participants at several time points. In these projects, we will acquire and analyze 7T MRS data and maintain the state-of-the art 7T acquisition protocol. This work will take place at the beautiful new NextGen imaging facility at the University of Missouri. We seek a candidate who has image processing expertise, interest in MRS, and a goal to contribute new ides and directions to the project and research field.
This work involves expertise in the fields of magnetic resonance imaging (MRI) and spectroscopy (MRS), image analysis, and database management. It will also involve writing procedures, manuscripts, and sections of grant proposals.
Our lab has a focus on ultra-high field (i.e., 7T) magnetic resonance imaging (MRI) and spectroscopy (MRS) of the human brain. One of our projects is the nation-wide, NIH funded “Adult Aging Brain Connectome” (AABC). The AABC is a continuation of the recently completed human connectome project on aging, and an ongoing project that adds 7T MRS to the dataset. The AABC will collect extensive imaging, health, behavioral, socioeconomic, and other data on over 1000 participants at several time points. In these projects, we will acquire and analyze 7T MRS data and maintain the state-of-the art 7T acquisition protocol. This work will take place at the beautiful new NextGen imaging facility at the University of Missouri. We seek a candidate who has image processing expertise, interest in MRS, and a goal to contribute new ides and directions to the project and research field.
This work involves expertise in the fields of magnetic resonance imaging (MRI) and spectroscopy (MRS), image analysis, and database management. It will also involve writing procedures, manuscripts, and sections of grant proposals.
Position Responsibilities
- MRS data analysis, which will include minimal MRI analysis and critical analysis of data quality
- Receive data from other sites and post results for shared use by the consortium
- 7T MRS and 3T MRI data acquisition in human subjects
- Data storage and organization in databases, preparation of summary of results, preparation of manuscript and presentations
- Adhere to protocols and policies established by the consortium
- Maintain accurate records of research activity
- Adhere to safety protocols and maintain lab in clean and high-functioning condition
- Mentoring other students
- Pursuit of research and other scholarly activities
Required Qualifications
- PhD in physics, biophysics, biomedical engineering, computer science, mathematics or similar field, or MD/PhD
- Experience in image analysis, ideally structural MRI analysis and software programming
- Track record of scientific productivity such as publications
- Experience acquiring MRI, or ideally MRS data from human subjects
- Experience in MRI technology, MR data analysis and Matlab programming
- Experience acquiring and analyzing MR spectroscopy data
- Research experience in analyzing data obtained with human connectome imaging protocols
- Capable of co-registering MRI data with MRS data acquired from same regions of interest
- Works well in collaborative teams and able to manage an independent research project
- Good communication skills: patient and considerate for working with the elderly
Be prepared to upload a CV/resume and cover letter.
Benefit Eligibility
This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts. For additional information on University benefits, please visit the Faculty & Staff Benefits website athttp://www.umsystem.edu/totalrewards/benefits
Values Commitment
We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.
In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement.
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