Difference between revisions of "SPL-Postdoc"
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• Algorithmic research for fast and accurate segmentation of tumors. <br> | • Algorithmic research for fast and accurate segmentation of tumors. <br> | ||
• Research into the analysis of tumor behavior on images (growth and changes such as necrosis) across multiple time points. <br> | • Research into the analysis of tumor behavior on images (growth and changes such as necrosis) across multiple time points. <br> | ||
− | • Add and expand the existing [[Slicer3Training_ChangeTracker.ppt|Changetracker tool]] in Slicer 3.<br> | + | • Add and expand the existing [[media:Slicer3Training_ChangeTracker.ppt|Changetracker tool]] in Slicer 3.<br> |
• Contribute to the dissemination of the software by working with [http://www.na-mic.org NA-MIC] and [http://nac.spl.harvard.edu NAC]. <br> | • Contribute to the dissemination of the software by working with [http://www.na-mic.org NA-MIC] and [http://nac.spl.harvard.edu NAC]. <br> | ||
Revision as of 12:44, 26 September 2008
Home < SPL-PostdocJob Posting for Post-doctoral Fellow
Background:
The Surgical Planning Lab, Brigham and Women’s Hospital, Harvard Medical School, has developed an oncology research tool to detect subtle growth in brain tumors from a pair of MR images. We are looking to expand the capabilities of this package in areas such as handling of multiple time points, changes in size and of the signal intensities as a reflection of biological processes.
The Surgical Planning Laboratory is advancing the future of health care by bringing the power of computation and imaging to new areas of medicine. The lab collaborates with groups within Brigham and Women's Hospital, with other researchers at the Harvard Medical School, with local universities such as Harvard and MIT, and with gifted clinicians, researchers, and engineers throughout the world. The Core Mission of the SPL is the extraction of medically relevant information from diagnostic imaging data.
Scope of actvities:
• Algorithmic research for fast and accurate segmentation of tumors.
• Research into the analysis of tumor behavior on images (growth and changes such as necrosis) across multiple time points.
• Add and expand the existing Changetracker tool in Slicer 3.
• Contribute to the dissemination of the software by working with NA-MIC and NAC.
Requirements
- Recent PhD in computer science or a related field with deep knowledge in medical image computing (e.g. segmentation, registration and time series analysis)
- The candidate should enjoy working in an inter-disciplinary environment with computer scientists and physicians (radiologists, neurosurgeons, psychiatrists, surgeons).
- Professional programming skills. We expect the candidate to be proficient in C++. Experience in VTK, ITK and 3D Slicer are a plus.
More Information
- Funding for this project is secured for one year.
- Starting date: as soon as practical.
- The successful candidate will split their time in three ways between independent research/activities, project related research and service/engineering.
- For further details please contact Ron Kikinis (kikinis at bwh.harvard.edu).
Brigham and Women's Hospital/Harvard Medical School is an affirmative action/equal opportunity educator and employer.