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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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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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. The position will not be tied to a specific project, but it could be aligned with a few depending on how the pre-doc skills and interests complement ongoing research. Her research primarily employs methods
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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of, and interest in, current global democracy, development, and governance issues Excellent research, writing, editing, and communication skills Proficiency in statistical and quantitative methods is a plus
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detail-oriented; able to effectively manage time and prioritize across multiple projects simultaneously Willingness to learn new financial programs and explore new methods for continual process improvement
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the absence of the Sr. Director, serves as secondary contact for disability related student crises and urgent matters, updating the Associate Dean for Degree Programs, Program Director’s, and others as needed
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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postdoctoral researcher with a strong background in neuroscience. The ideal candidate will have extensive training in their Ph.D. program and be capable of independently conducting research in the field
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January 11, for awards is February 1, and for the internship program is February 15. Undergraduate Students Graduate Students and Advanced Undergraduates Post-doctoral Fellows Early-Career Scholars (from