272 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" research jobs at Harvard University in United States
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names and contact information of three references. Harvard University is committed to equal opportunity and non-discrimination . We seek talent from all parts of society and the world, and we strive
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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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. Activities may include training and supervising research assistants; experiment design, data collection and analysis, manuscript preparation and grant-writing, and collaboration with the research lab
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international programming. Administration: Manage collection of efficacy data and write analytical reports. Compose and design web and print-based promotional media, application forms, and other URAF publications
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, and in vivo electrophysiology. The successful candidate will be responsible for designing and executing animal experiments and analyzing multimodal biological data. Basic Qualifications Ph.D. in a
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description of past research and future interests, and why you are interested in the Morad Lab (1 page max) A curriculum vitae Contact information for minimum 2 references Contact Information Viktoriia Morad
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. Expected Start Date: Between July 1-Aug 15, 2026. Exact date is negotiable. Contact Information Professor Pragya Sur Department of Statistics Harvard University Maxwell Dworkin 33 Oxford St Cambridge, MA
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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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risky. We prefer to use the word “challenging,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role
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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