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basic skills coding with AI assistance. Proven ability to lead workshops and effectively communicate complex ideas to academic and general audiences. Strong analytical, problem-solving, and communication
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for peer reviewed social science journals. Candidates should have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables
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We study innate immunity to RNA viruses in humans and invertebrate models (including C. elegans), as well as host evolution and viral immune evasion strategies. Approaches · Virus-Host Interactions
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communicate complex ideas to academic and general audiences. Strong analytical, problem-solving, and communication skills, with demonstrated capability to work independently and collaboratively. Ability
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, and how brains acquire heritable adaptations for complex, learned behaviors. Comparisons between modern humans and our living primate relatives provide a way to address this question in the context
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at least two of the following: electrophysiology, rodent experimentation, programming of controllers, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record
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Black tenured faculty member at the School, a distinction noted by minority students at the School and throughout Harvard University, who sought him out as a role model and advisor on career issues. He
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, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods
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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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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be