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Duke University

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Postdoctoral Associate in Deep Learning and Medical Imaging at Duke University Duke University in United States

Degree Level

Postdoc

Field of study

Oncology

Funding

Full funding available
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Country

United States

University

Duke University

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Keywords

Oncology
Computer Science
Biomedical Engineering
Electrical Engineering
Cardiology
Radiology
Medical Imaging
Deep Learning
Biology
Surgery
Computer Vision
Medical Science
Statistics
ML

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About this position

Duke University is advertising a Postdoctoral Associate position at the Duke University School of Medicine / Duke Health in Durham, North Carolina, United States. The project focuses on deep learning, machine learning, computer vision, and related algorithms for medical imaging and broader healthcare applications.

The research environment includes Duke Spark, where AI researchers and physicians collaborate on clinical problems. Current and prior work mentioned in the posting includes foundation models, detection, segmentation, and classification tasks, with application areas in radiology, surgery, cardiology, and oncology.

This is a full-time, 12-month appointment with the possibility of renewal. Duke highlights mentoring and career development support, including seminars on grant writing, academic promotion, presentation skills, and alternative career paths. The posting notes that trainees from Dr. Mazurowski’s lab have gone on to strong positions, including faculty roles.

Eligibility highlights include a PhD in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics, or a related field; strong machine learning expertise; programming proficiency; strong communication skills; and a record of recent impactful publications. Interested candidates should apply through the Duke careers portal linked in the posting.

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.

More information can be found here

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