175 parallel-computing-numerical-methods Fellowship research jobs at Harvard University
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internal and external meetings Contribute to recommendations on next steps for experiments while also taking an active role overall in program strategy and alignment with the sponsor’s contractual
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/. The postdoctoral research fellow will work on causal inference projects under the supervision of Professor Miguel Hernan. The projects range from the development of causal inference and AI methods
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proximity to numerous restaurants and cultural attractions. Why you’ll like working with us: At the Wyss Institute, you’re a member of a supportive, dynamic community that is united by its shared goal
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postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g
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Details Title Postdoctoral Fellow in Pre-Cancer Atlas (Santagata Lab) School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position Description We invite applications
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, teaching, student experience, and the production and circulation of knowledge. Drawing on survey and qualitative methods, and informed by scholarship in sociology, anthropology, political science, history
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Details Title Postdoctoral Fellow in the Harvard-MIT Center for Regulatory Science School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position Description We invite
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series