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. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling, semantic change, or related techniques. Broad interest in cultural evolution, cognitive
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Staff Services office. Candidates should have some familiarity with some or all of the following: · Causal analysis and experimental design: difference-in-differences and fixed effects models
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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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of transmembrane signal transduction. Collaboration with team members specializing in molecular biology, computational modeling, and cell biology is encouraged, as is the presentation of research findings in
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: Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area: Electrical Engineering / Applied Mathematics / Computer Science Position Description: Professors Le Xie and Na Li in
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area *** Position Description We invite applicants for a postdoctoral fellow position in
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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researcher, with expertise in modeling species distributions as a function of climatic change. We expect the postdoc to be able to work independently and contribute intellectually to broader research themes
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have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition
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and genomics. Responsibilities: 1. Conduct research in neuroscience using in vivo and in vitro models. 2. Publish and present research findings in high-quality scientific journals and conferences. 3