A postdoctoral fellowship position is now available in the Acute Cerebrovascular Diagnostics Unit at the NIH National Institute of Neurological Disorders and Stroke, under the direction of Dr. Lawrence L. Latour, Ph.D.
Our lab uses advanced MRI to study how acute cerebrovascular disease, specifically blood brain barrier disruption, influences tissue injury, edema, hemorrhagic transformation, and recovery after ischemic stroke.
The successful candidate will help lead MRI studies of acute ischemic stroke to advance our understanding of how blood brain barrier disruption affects tissue damage, hemorrhagic transformation risk, edema formation, and recovery after stroke. This fellow will work on projects that use multimodal MRI to characterize blood brain barrier permeability and relate these imaging findings to tissue outcome, clinical status, and therapeutic response in patients with acute stroke.
More specifically, research areas may include:
- MRI-based assessment of blood-brain barrier integrity in acute stroke patients
- Imaging biomarkers of tissue-fate, injury-progression, and recovery
- Quantifying relationships among perfusion, diffusion, edema, re-perfusion, and blood brain barrier disruption
- Developing and applying quantitative MRI methods for cerebrovascular disease study
- Translating neuroimaging findings to stroke mechanisms and clinical outcomes
Importantly, this position offers the opportunity to work in a highly collaborative research environment with clinicians, physicists, engineers, and computational scientists. This position is well suited for a highly motivated young scientists interested in developing expertise in advanced MRI and in making fundamental contributions to understanding how blood-brain barrier dysfunction influences brain injury and recovery.
Overall, NINDS offers a large and active stroke clinical research program, state-of-the-art MRI facilities, and strong support for career development, scientific presentation, and publication.
Prospective applicants should have a strong background in MRI, neuroimaging, biomedical engineering, neuroscience, stroke research, or a related quantitative discipline. Prior experience should include image analysis, statistical methods, and scientific programming.
Candidates must also have excellent written and oral communication skills and the ability to work effectively in a multidisciplinary team. Previous experience in acute stroke imaging, quantitative image processing and modeling, clinical or translational neuroimaging research, and programming in MATLAB, Python, R, or similar platforms is desirable but not required.
