407 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at Harvard University
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Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model
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, collaboration, continuous improvement and innovation; and open communication and effective information sharing in our daily interactions and our work. AA&D is comprised of the Faculty of Arts and Sciences (FAS
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, collaboration, continuous improvement and innovation; and open communication and effective information sharing in our daily interactions and our work. AA&D is comprised of the Faculty of Arts and Sciences (FAS
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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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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description Job Summary: The
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relevant department communication, including the creation and maintenance of statistical databases for information management and other tasks. May review video surveillance as required by events, provide
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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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on improving methods for mathematical modeling and statistical inference on infectious disease data, engagement with policy makers to use the results of transmission dynamic studies to improve decisions, 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