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Researcher/ Postdoctoral Fellow
| Employer: | Biomedical Cybernetics Laboratory, Harvard Medical School (Doctoral University) | | Location: | Boston, MA 02115 | | Category: | Postdoc/Graduate Assistant position of:
Bioinformatics / Biostatistics
Computer Science & Engineering
Mathematics & Statistics | |
| Posted: | Sep. 01, 2010 |
| | Job Type: | Full-time | | Deadline: | Open until filled |
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Description & Requirement We have several research opportunities with the Biomedical Cybernetics Laboratory at Harvard Medical School. Areas of current focus include machine learning, graphical models/Bayesian networks, signal processing, stochastic processes, and network analysis.
Our projects involve machine learning and network analysis method development and application to bring bottom-up data-driven (e.g. Bayesian network learning) and top-down knowledge-driven approaches (ontolgoies) together and abstract out key information/underlying relationships. We are based in Harvard Medical's new $265 million research building that opened recently at the medical school campus.
These projects involve work with a laboratory affiliated with the Children’s Hospital Informatics Program at the Harvard/MIT Division of Health Sciences and Technology. There are two opportunities that require strong programming skills (CS, engineering, math, and/or physics background a plus). For one of these opportunities, a background in probability, network theory, linear algebra, machine learning, and/or signal processing would be a plus. Please specify your area when replying. You will have a chance to work with world class researchers. You can check out some related (but earlier) work at: http://bcl.med.harvard.edu.
Some features of this particular opportunity include:
- Potential for a high-impact publication by the end of the position. Interns (previous students/ alumni) have won national awards and have been accepted to top graduate/medical programs including Harvard - MD/PhD).
- Networking with Harvard Medical School/MIT faculty/community.
- Independence (can be a plus or minus- i.e. student must be highly *self-motivated* and put in the time to be successful).
- Flexible start dates
Application Please send your CV to alterovitzra@mit.edu. (When applying, please mention this ad in TedJob.com)
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