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HIRING SUMMARY:
We are now looking for highly-motivated candidates for multiple positions including Post-doctoral Research Fellows or Research Associates, Imaging Analysts and Software Engineers. The research projects include:
- 1. Develop structural, functional and diffusion MRI prognostic biomarkers and machine learning models of early detection/prediction of neurodevelopmental deficits and other important clinical outcomes for high risk newborns and infants;
- 2. Develop machine learning/deep learning methods using conventional MRI and MR elastography data to accurately detect and quantify liver fibrosis, using biopsy-derived histologic data as the reference standard;
- 3. Large-scale collaborative analyses of radiomics and genomics data for prediction/diagnosis neurodevelopmental disorder or liver, bowel other disease prediction;
- 4. Develop machine learning/deep learning algorithms for MRI image reconstruction.
EDUCATION/EXPERIENCE:
Required:
- A Bachelors, MS or PhD degree in computer science, mathematics, biomedical engineering, bioinformatics, electrical engineering, physics or related field.
- Strong programming skills with Python, Matlab.
- Strong communication skills in written and verbal English. Trackable publication records.
- Extensive experience in machine learning and deep learning development with Scikit-learn, Deep learning package (e.g., Tensorflow, Keras), and Matlab packages.
- MRI image research experience is a plus.
Applicants should email a CV, along with a brief letter outlining their research background and interests to Dr. Lili He: lili.he@cchmc.org