186 parallel-and-distributed-computing-"DIFFER" Fellowship positions at Harvard University
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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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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to the Kavli-Laukien Postdoctoral Fellowship at the Origins of Life Initiative at Harvard University. The Kavli-Laukien Fellowship program supports young developing independent scholars to pursue innovative
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of the following: · Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition and non
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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: 15175 School: Faculty of Arts and Sciences Department/Area: Davis Center for Russian and Eurasian Studies Position Description: The Davis Center Postdoctoral Fellowship program offers comprehensive
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School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research
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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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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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causal identification methods. There are no teaching requirements for these open positions. Basic Qualifications: A Ph.D. or equivalent degree in computer science, statistics, economics, management science