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, or a closely related field by the time the appointment begins. Additional Qualifications A strong record of experimental research is preferred. Experience with experimental methods is desirable as is
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quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods and
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these methods to address challenges in scientific discovery and precision medicine. We seek highly-motivated applicants with background in one or more of the following areas: agentic AI, geometric deep learning
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these or related fields, particularly those who may bring a new technology, method, or perspective to bear on the work of the Center. We are especially interested in candidates with strong quantitative, data
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provides researchers, students, and instructors with state-of-the-art methods, data, and software.. The Postdoc will: 1) work with other CGA team members to develop and offer state-of-the-discipline
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) and single-spaced, should describe: the nature and scope of the proposed research project the approach and methods to be employed how existing MCZ collections would be utilized and augmented with new
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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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independently and as part of a team Additional Qualifications Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Experience with infant methods
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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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Paulsson lab is focused on methods for single cell biology, as well as antimicrobial resistance in bacterial infections. We welcome applications from recent PhD graduates who are interested in