Research Fellow - Deep Learning
Brigham and Women(2 months ago)
About this role
Postdoctoral Fellow in Deep Learning to develop and extend machine-learning algorithms (DystoniaNet) for automatic diagnosis, risk prediction, and treatment outcome evaluation for dystonia using brain MRI datasets. The role is based at Massachusetts Eye and Ear and involves collaboration with a multidisciplinary clinical and research team to translate algorithms into clinical practice. The position is intended for candidates with a broad computer science background aiming for careers in academia or industry.
Required Skills
- Machine Learning
- Deep Learning
- Neural Networks
- Python
- Matlab
- TensorFlow
- Keras
- Neuroimaging
- Data Processing
- AWS
+3 more
Qualifications
- PhD or Equivalent
About Brigham and Women
brighamandwomens.orgBrigham and Women’s Hospital is one of the top hospitals in America with more than 790 beds, and a premier teaching hospital of Harvard Medical School. Learn more.
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