Deadline: 21 August, 2024
Research Institute: The Tearney Lab
Lab: Tearney Lab – Wellman Center for Photo medicine
Job Description:
· Focus on advancing state-of-the-art in automated cancer detection via medical image analysis to solve challenging problems in processing, evaluating, and interpreting clinical and pre-clinical data
· Develop a set of semi-automated and automated image processing and analysis applications, including segmentation, classification, registration, feature extraction and pattern detection.
· The specific aim of the fellowship can be tailored to meet individual goals, which will provide an opportunity to build clinical, research, and publication experience.
· Working closely with the technology development teams and clinical collaborators
· Implement analysis technologies in one or more of the following organ systems: heart, lungs, brain, ears, esophagus, colon
· Guide research questions, design studies, and monitor the execution of those studies
· Hold regular technical meetings.
· Publish in world-leading high impact journals
· Deliver milestones on time
Degree Requirement:
A Ph.D. (or equivalent) in Computer Science or Engineering, Biomedical Engineering, Electrical Engineering, Physics, or a related field is required.
Required skills:
· A background in using machine learning to solve problems in optical coherence tomography along with multiple publications
· Experience on deep learning frameworks such as PyTorch, Keras or TensorFlow
· Experience with OCT image analysis and OCT machine learning
· A strong understanding of classical image processing techniques using MATLAB, ImageJ, and Python. Techniques include spatial frequency domain filtering, lumen segmentation, and denoising data.
Desired skills:
· Intel Integrated Performance Primitives (IPP), embedded operating systems, Arduino, and GPU programming are helpful.
· An understanding of types of different types of in-vivo medical imaging systems such as fluorescence microscopy, spectroscopy, ultrasound, photoacoustics, and familiarity working with data from several.
· A working understanding of histological processing methods and identification of normal and abnormal tissue in several disease types
· A working understanding of tissue optical properties
How to apply:
· Interested candidates are encouraged to send a CV accompanied by a cover letter describing any previous research training, specific areas of interest, and contact information for three letters of reference.
· Address correspondence to Dr. Gary Tearney, note the position you are applying for in the subject line, and send by email to tearneylabsearch@partners.org
Source: SPIE Organization
Source Information: https://spie.org/careercenter?job=6f0b3475-0930-ef11-a9a1-00505691c5e1
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