214 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "University of St" "St" Fellowship positions at Harvard University
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that make these problems tractable, as well as computational tools and laws governing biological system behavior. We welcome applications from recent PhD graduates who are interested in these or related
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of funding. Candidates who have tenure-track offers but would like to defer and do a one-year postdoc are also welcome to apply. Basic Qualifications: Ph.D. in Statistics, Mathematics, Computer Science or a
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Details Title Postdoctoral Fellow in Biomedical Informatics (Cai Lab) School Harvard Medical School Department/Area Biomedical Informatics Position Description A Postdoctoral Research Fellow
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position from the date of hire, renewable on an annual basis, contingent upon satisfactory work performance, research program needs, and continued availability of funding. Extensions are common and expected
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. This is a one-year position with the possibility of extension. The start date is flexible. For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https
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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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and contact information for three people who have agreed to serve as your reference Contact Information 10 Shattuck St. Boston, MA 02115 Contact Email heather_viana@hms.harvard.edu Salary Range https
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benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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coordination with other lab members, we especially value candidates who are punctual, consistently present on site during normal working hours, and fully engaged in the day-to-day pace of the research program