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Syed Anwar

3 days ago

Postdoctoral Fellow in AI and Computer Vision for Clinical and Pediatric Healthcare Research Children's National Hospital in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Nationwide Children's Hospital

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Biology
Computer Vision
Critical Care Medicine
Medical Science
Clinical Decision Support
Clinical Data
Aortic Surgery
Pediatric
Machine learning

About this position

Children's National Hospital is seeking a Postdoctoral Fellow in AI and Computer Vision to join a team working at the intersection of AI in healthcare, computer vision, medical imaging, clinical data science, and clinical decision support.

The role focuses on developing and implementing AI algorithms for clinical environments, with applications in cardiac surgery, critical care, and translational pediatric healthcare research. The fellow will help build tools that can improve patient care and support real-world clinical workflows.

Ideal candidates should have expertise in machine learning, deep learning, computer vision, medical image analysis, multimodal AI, or related areas. Strong programming skills and an interest in interdisciplinary collaboration with clinicians, engineers, and data scientists are highly valued. Applicants must be eligible to work in the United States and meet institutional work-authorization requirements.

This is a postdoctoral opening, not a scholarship call. No deadline or funding details were stated in the post. Interested candidates should contact Syed Anwar or Alix Fetch, PhD directly. The poster also mentions being available at CVPR 2026 to discuss the opportunity in person.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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