246 data-"https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Harvard University
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Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training
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Information Nicole Grenier BHI Division Administrator 617-496-8956 Contact Email nicole.grenier@cfa.harvard.edu Salary Range $17,000-$19,000 total for three month period. Minimum Number of References Required 3
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. Position involves the development of methodology in the areas of clustered and survival data analyses. The application
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, Biochemistry, or similar field preferred. General interest in basic science research. Additional Information Term: This is a one-year term position from the date of hire, with the possibility of extension
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opportunity to shape the future of medicine. Job Description The Department of Health Care Policy (HCP) is a dynamic, data-driven research environment that brings together economists, statisticians, physicians
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the fermentation reactor, and post-incubated organic matter from the microbial fuel cell. Specifically, the technician may be asked to work on running or outsourcing samples to generate data on total organic carbon
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in