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brain disorders such autism spectrum disorder and bipolar disorder, by utilizing recent advances in genetics and genomics, and through collaborations with groups using machine learning. We are developing
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Position Description Harvard University, Department of Mathematics Simons Collaboration Postdoctoral Fellowship The Department of Mathematics at Harvard University welcomes applications for a
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considering epigenetics and other biomarkers of aging and evaluating these relationships across diverse populations. The Fellow will collaborate with faculty mentors (Dr. Laura Kubzansky – Harvard T.H. Chan
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considering epigenetics and other biomarkers of aging and evaluating these relationships across diverse populations. The Fellow will collaborate with faculty mentors (Dr. Laura Kubzansky – Harvard T.H. Chan
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on collaborative and cross-disciplinary research are especially encouraged. For current Harvard graduate students, consideration will be given to candidates who wish to join a lab different from where they did
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responsible for developing and leading analytical causal inference analyses in international collaborative projects, such as the FEP-CAUSAL and BD-CAUSAL Collaborations. The postdoctoral research fellow will
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to collaborate within CAUSALab and beyond the research group Additional Information: Per university guidelines, postdoc appointments are considered to be on-campus, full-time positions. Per university payroll tax
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collaborative environment. Responsibilities: (1) Develop and implement an independent research project that extends and complements the work of the lab; write and submit proposals to fund the research; secure and
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larger collaborative research program. The postdoctoral fellow will be part of a multidisciplinary team at Harvard and will collaborate with research groups outside Harvard involved in the broader project
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research environment of the Black Hole Initiative, with the opportunity to interact and collaborate with researchers across astronomy, physics, engineering, and the history and philosophy of science, while