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Description

Dr. Lili He's laboratory of Artificial Intelligence for Computer Aided Diagnosis (AI-CAD) at Imaging Research Center (IRC) is committed to lending the group's interdisciplinary expertise in computer science, medical imaging, biomedical engineering and biostatistics to facilitate major breakthroughs in the medical AI field by developing and validating robust clinically effective AI diagnostic tools for clinicians to use at the bedside to improve diagnosis, prediction, and prevention of patient outcomes for high-risk infants and children. We are now looking for talented and highly-motivated AI post-doctoral research fellows to join us.

SCOPE: Development and implementation of AI techniques, medical image/data analysis.

Representative Responsibilities

1. Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for medical applications.
2. Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
3. Establish and validate algorithms/methods/models to create clinically meaningful AI tools that involve medical images.
4. Assist with image data curation, processing, and analysis.
5. Communicate results/findings; draft and edit scientific abstracts, presentations, and journal articles. Present work at workshops, seminars, and conference proceedings within and outside of CCHMC.

Cincinnati Children's Research and Training at a Glance

• Among the top in NIH funding for pediatric research institutions
• Over 1.4 million square feet of research laboratory space
• 900+ scientists conducting basic, translational, and clinical research
• Over 2000 publications annually in top-tier journals
• Access to Employee Resource Groups and Mentorship programs
• Postdocs have gone on to careers in academia, biotech, pharma, teaching etc.

Learn more about the Postdoctoral Fellowship Program.

Compensation and Benefits

• Postdoctoral Research Fellows and Associates are eligible for:
  • Group Health, Dental, and Vision Insurance Plans
  • Paid Time Off
  • Retirement Plan
  • Tuition Reimbursement
  • Relocation Benefits for Eligible Hires

Learn how Cincinnati Children's is building a diverse workforce!

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Qualifications

Education/Experience:

PhD degree in computer science, biomedical engineering, bioinformatics, electrical engineering, or related field.

Required:

• Extensive experience in machine learning and deep learning development using Scikit-learn, deep learning package (e.g., Tensorflow, Keras, PyTorch).
• Strong communication skills in written and verbal English, and ability to work both independently and as a team member to accomplish core objectives.

Preferred:

• Medical image research experience.
• Biomedical statistical analysis experience.
• Strong programming skills with Linux-based Python and familiarity with containerization.
• Multiprocessing experience using GPUs for training and inference.