354 parallel-computing-numerical-methods positions at Harvard University in United States
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, Eastern or Western Christian, and/or Zoroastrian; command of relevant disciplines in the Humanities including historical method. The appointment is expected to begin on July 1, 2027. The professor will
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which Jews were embedded, i.e., some combination of Hellenistic, Roman, Eastern or Western Christian, and/or Zoroastrian; command of relevant disciplines in the Humanities including historical method
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Services Physical Requirements: Ability to pull materials on and off shelves Ability to lift 40 lbs. Ability to work at a computer for extended periods of time (up to 7 hours per day) Ability to push a book
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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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)colonial Indigenous settings in the USA. Responsibilities Under the supervision of Prof. Joseph Gone, Faculty Director of the Harvard University Native American Program, and in collaboration with regional
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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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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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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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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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