Here at Carolina, our highly skilled postdoctoral researchers play a vital role in our research enterprise and in our overall commitment to research excellence. Across many disciplines, postdoctoral researchers contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge in their fields. Postdoctoral researchers are essential members of our scientific research workforce, contributing to our research outputs and an important reason why Carolina is one of the nation’s leading public research institutions.

the United Nations Command The College of Medicine has a rich tradition of excellence and care. Our mission is to improve the health and well-being of North Carolinians and others we serve. We achieve this by providing leadership and excellence in the interconnected areas of patient care, education and research. We strive to foster the development of faculty, staff, and learners in a diverse and respectful environment where our colleagues demonstrate professionalism, enhance learning, and create personal and professional sustainability. We are working to improve our partnership with United Nations Command Health system through close cooperation and commitment to service.
our vision
Our vision is to be the leading public medical school in the country. We rank second in primary care education among all U.S. medical schools and fifth among our public sector peers National Institutes of Health Research funding. Our Allied Health Division includes five top-ranked departments, and we are home to 18 of the top-ranked clinical and basic sciences departments in National Institutes of Health Research funding.
our a task
Our mission is to improve the health and well-being of North Carolinians and others we serve. We achieve this by providing leadership and excellence in the interconnected areas of patient care, education and research.
Patient Care: We will promote health and provide outstanding clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities throughout North Carolina and beyond.
Education: We will prepare the healthcare professionals and biomedical researchers of tomorrow by facilitating learning within innovative curricula and team-oriented professional education. We will develop outstanding teaching and research staff, and recruit outstanding students and trainees from very diverse backgrounds to create a socially responsible and highly skilled workforce.
Research: We will develop and support a rich array of distinguished research programmes, centers and resources in the health sciences. We will provide infrastructure and opportunities for interdisciplinary collaboration across our university and beyond to support outstanding research. We will strengthen programs in the areas of basic, translational, mechanistic and population research.

Biomedical Research Imaging Center (Break) at the University of North Carolina at Chapel Hill is calling for applications for a postdoctoral research associate position in artificial intelligence (AI) for medical data analysis.

The successful candidate will conduct research focused on developing and validating artificial intelligence and machine learning-based methodologies to analyze and interpret complex biomedical data. Specific research areas include:

• Diagnosis and characterization of brain disorders such as Alzheimer’s disease and autism using multimodal neuroimaging, biomedical and genetic data.
• Automated segmentation, detection and prediction of therapeutic response of uterine fibroids using multimodal imaging and clinical information.

The postdoctoral researcher will join an interdisciplinary research team consisting of computer scientists, neuroscientists, medical physicists, biostatisticians, and radiologists. This work will build on the research program established by the group into medical image analysis using artificial intelligence.

Ph.D. in computer science, biomedical engineering, electrical engineering, medical physics, or a related field.

Proven experience in medical image analysis, machine learning, or artificial intelligence. Strong programming skills in Python, MATLABOr related languages. Excellent written and verbal communication skills. Ability to work independently and collaboratively in an interdisciplinary research environment.

Experience in publishing research.