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Charlene Ong

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Postdoctoral Fellow in Machine Learning for Acute Brain Injury at Boston University Boston University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

Boston University

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Keywords

Computer Science
Epidemiology
Biomedical Engineering
Biostatistics
Neuroimaging
Neuropsychology
Medical Science
Traumatic Brain Injury
Clinical Data
Neurocritical Care
Ischemic Stroke
Statistics
Bioinformatic
Electronic Health Record
ML

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About this position

Boston University is recruiting a Postdoctoral Fellow in Machine Learning for Acute Brain Injury, in collaboration with VA Boston and the VITAL ARC multidisciplinary research group.

The fellow will analyze large clinical datasets from Boston Medical Center/Boston University and the VA, focusing on traumatic brain injury and large ischemic stroke. Research areas include cohort construction, imaging-informed subphenotyping, and prediction of cerebral edema, neurologic deterioration, and long-term outcomes.

Responsibilities include leading analyses and first-author papers, developing and validating models using electronic health records, imaging, and physiologic data, helping design prospective ICU validation studies, mentoring analysts and students, and contributing to grant applications. The position offers mentorship in grant writing and career development.

Applicants should have a PhD in biomedical informatics, biostatistics, epidemiology, computer science, engineering, or a related discipline; strong Python or R skills; practical machine learning experience; and experience with large EHR databases or neuroimaging. A publication record and interest in developing an independent research career are expected. Eligibility for a VA appointment and U.S. citizenship are required. To apply, email a CV, a short research-interest statement, and two or three references to [email protected].

Funding details

Available

What's required

Applicants must hold a PhD in biomedical informatics, biostatistics, epidemiology, computer science, engineering, or a related field; have strong Python or R skills and hands-on machine learning experience; possess experience with large EHR databases or neuroimaging; demonstrate a publication record and motivation to build an independent research career; and be eligible for a VA appointment, including U.S. citizenship.

How to apply

Send a CV, a short statement of research interests, and the names of two or three references to [email protected].

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Professors

Associate Professor of Neurology and Neurosurgery

University Name
Country flag

United States

Research Interests

Epidemiology

Neuropsychology

Bioinformatic

Clinical Data

Electronic Health Record