Postdoctoral Fellow: Image-Guided Neurovascular AI

University at Buffalo; Buffalo (NY); Híbrido; USD 51 000 - 69 000; Tempo integral

Resumo da oferta

University at Buffalo invites a Postdoctoral Associate to advance an interdisciplinary program on image-guided navigation for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and AI methods using CT and DSA data, collaborating with clinicians, engineers, and researchers to reach project milestones and disseminate findings through publications and talks.

The role emphasizes rigorous experimentation, statistical analysis, and clear scientific

Qualificações

• PhD in biomedical engineering or related field required.
• Experience conducting medical imaging research.
• Experience developing AI/ML approaches for research.
• Strong command of statistical methods in biomedical research.
• Track record of peer‑reviewed publications.
• Ability to communicate findings clearly and collaborate in multidisciplinary teams.

Responsabilidades

• Develop and evaluate medical imaging and AI methods for vascular mapping and navigation using CT and DSA data.
• Collaborate with clinicians, engineers, and researchers to advance project objectives and milestones.
• Disseminate findings through publications and presentations.

Conhecimentos

Biomedical imaging research

Artificial intelligence and machine _

Statistical methods

Peer-reviewed publications

Scientific communication

Collaborative teamwork

Formação académica

PhD in biomedical engineering or related engineering field

Descrição da oferta de emprego

University at Buffalo invites a Postdoctoral Associate to advance an interdisciplinary program on image-guided navigation for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and AI methods using CT and DSA data, collaborating with clinicians, engineers, and researchers to reach project milestones and disseminate findings through publications and talks.

The role emphasizes rigorous experimentation, statistical analysis, and clear scientific