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Research Fellow
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Full-time
- The main focus of this position will be on the application of deep learning to a large dataset of multiplexed immunofluorescence images from patients enrolled in a successful phase 2 clinical trial demonstrating checkpoint inhibitor efficacy in brain metastases of diverse histologies (Brastianos & Kim et al., Nature Medicine 2023).
- In this role, the Candidate will work in a highly collaborative environment with computer scientists, machine learning scientists, and physician-scientists at the Massachusetts General Hospital (MGH).
- There will be opportunities for technical innovation on these projects, as well as collaborations with physician-investigators (Priscilla Brastianos) from the MGH Cancer Center.
- The ideal candidate will have both expertise in state-of-the-art deep learning methodologies and experience of the specific challenges of applying them to medical imaging, as well as a strong track record of scientific publications.
- PRINCIPAL DUTIES AND RESPONSIBILITIES: ·Conduct research projects in the area of medical image analysis with deep learning, with a primary focus on digital histopathology and multiplexed immunofluorescence.
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