Postdoc: AI-Driven Medical Imaging in Radiation Oncology

aah

Ardmore (NC)

On-site

USD 64,000 - 96,000

Full time

7 days ago
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Benefits offered by this job

Health benefits
Retirement plan
Education assistance
Paid time off
Flexible spending accounts

Job summary

The Laboratory at Wake Forest University School of Medicine, part of Advocate Health, is seeking two Postdoctoral Researchers to join an NIH-funded interdisciplinary program in artificial intelligence, medical imaging, computational pathology, and precision oncology.

Applicants should have a PhD in a quantitative field and a strong background in ML/DL/CV. The role involves developing AI approaches using diverse biomedical data, mentoring students, and publishing in top venues.

Qualifications

  • PhD in Artificial Intelligence, Biomedical Engineering, Computer Science, Electrical/Computer Engineering, Bioinformatics, Data Science, Statistics, or closely related field.
  • Strong background in ML, DL, CV, or multimodal AI.
  • Ability to conduct independent research in a collaborative environment.

Responsibilities

  • Develop ML/DL methods for medical imaging and computational pathology.
  • Design/implement/evaluate AI algorithms on large radiology, pathology, genomic, transcriptomic, and clinical data.
  • Publish research in biomedical and AI venues; present at conferences.
  • Mentor students and research staff; foster interdisciplinary collaborations.

Skills

Machine learning
Deep learning
Computer vision
Multimodal AI
Independent research

Education

PhD in a quantitative field

Tools

High-performance computing

Job description

The Laboratory at Wake Forest University School of Medicine, part of Advocate Health, is seeking two Postdoctoral Researchers to join an NIH-funded interdisciplinary program in artificial intelligence, medical imaging, computational pathology, and precision oncology.

Applicants should have a PhD in a quantitative field and a strong background in ML/DL/CV. The role involves developing AI approaches using diverse biomedical data, mentoring students, and publishing in top venues.

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