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Details Title Postdoctoral Fellowship in Computer Science School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description Our research
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Qualifications PhD in Computational Science, Computer Science, Applied Mathematics, Engineering or Physics by the time the appointment begins. Additional Qualifications Applicants background may include studies in
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Qualifications ● A PhD in ecology, environmental science, remote sensing, or a related field by the time of appointment. ● Demonstrated experience in applying high-resolution remote sensing to animal
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to pursue a PhD later in economics or finance, or perhaps in computer science. “Macro-finance-behavioral” track: you need to be analytically very strong, and good at programming (e.g. Python). Topics will
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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
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computing platforms and tools (AWS, GCP, or other). Experience operationalizing end-to-end machine learning applications. Preferred Qualifications: Advanced degree in mathematics, physics, computer science
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for this position must have a bachelor’s degree in economics, statistics, mathematics, computer science, physics, or another quantitative field. Experience with deep learning or econometrics is not required, but
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variety of communications tools and strategies. Experience with graphic design (e.g. Adobe Creative Suite) a plus but not required. Master’s or PhD degree or coursework a plus but not required. Work Format
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Qualifications Bachelor’s degree in quantitative field required (Economics, Statistics, Computer Science, etc.) required, along with evidence of outstanding academic achievement. Statistical/programming expertise
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of library operations as required, including circulation, preservation and materials processing. Basic Qualifications Completed PhD in Classics; a concentration in Greek Studies is preferred. At least two