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Job

Postdoctoral Fellow

Organization

National Institute of Neurologic Disorders and Stroke, Bethesda, MD and surrounding area

Scientific focus area

Neuroscience, Biomedical Engineering and Biophysics, Computational Biology

The Stroke Branch of the NIH NINDS Neurovascular Research Unit, lead by Dr. Amreen Mughal, is now seeking a postdoctoral fellow to work on cutting-edge image analysis tasks, involving deep learning for computer vision, as part of the laboratory's in-vivo imaging projects.

About the position

The NINDS Stroke Branch, housed on NIH's main Bethesda campus, focuses on both basic and translational clinical as well as epidemiological research into all aspects of stroke, acute traumatic brain injury, and vascular cognitive impairment. Our branch is responsible for important basic and translation contributions to our fields understanding of stroke and related disorders and diseases.

Now, The Mughal Laboratory is seeking a motivated candidate to study the neurovascular coupling mechanisms involved in the regulation of brain blood flow and the associated clearance of metabolic by-products. This position is best suited for a postdoctoral fellow eager to work on cutting-edge image analysis tasks involving deep learning for computer vision.

Accordingly, this fellow will handle a diverse set of image types, including multi-photon, wide-field, confocal microscopy, functional MRI and functional ultrasound. Prior experience in programming in Python and/or MATLAB, as well as prior knowledge of signal processing, including ML-AI and basic microscopy modalities (such as Image stabilization, motion-correction, noise removal and image segmentation) are required.

The most successful candidates will be self-motivated, have a desire to learn new skills, and be prepared to join a multidisciplinary, diverse, and highly-interactive team of researchers within NIH's collaborative and supportive scientific environment.

This position is fully supported by NIH/NINDS funding. Candidates will be provided health insurances and a competitive stipend commensurate with their experience.

Apply for this vacancy

What you'll need to apply

Interested applicants should send a CV with bibliography, a statement of their research interests and career goals, and the contact information for three professional references to Dr. Amreen Mughal at the email below.

Review of applications will begin immediately and will continue until this position is filled.

Contact name

Amreen Mughal

Contact email

[email protected]

Qualifications

Prospective candidates must hold a doctoral degree in Physiology, Computation Neuroscience, Biomedical Engineering, Physics, Mathematics and/or a closely related field, by the time they begin their fellowship, and have less than 2 years of post-doctoral experience.

Applicants must have strong programming skills in Python and/or MATLAB and will preferably have experience with quantitative image and/or signal processing and spatial statistics.

Disclaimer/Fine Print

Applications from women, persons from underrepresented groups, and persons with disabilities are strongly encouraged. U.S. citizens and permanent residents are eligible to apply. NIH welcomes foreign nationals with the exception of individuals from this list.

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