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Details Title Postdoctoral Fellows, Digital, Data, and Design Institute - Climate and Sustainability Impact Lab School Harvard Business School Department/Area Position Description The Digital Data
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of complex systems, networks, and large-scale data Machine learning, generative AI, NLP, or algorithmic decision systems Ideal applicants will have a strong background in operations research, statistics
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Prof. Nada Amin at Harvard SEAS. The postdoctoral fellow should be interested in the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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, public opinion polls, women’s rights legislation across US history and comparatively, and the role of masculinity norms in the retreat of men from employment and family. The pre-doc will use large data
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, Signal Transduction , Virology , X-ray crystallography Bioinformatics / big data , Biological Data , data science , Interdisciplinary Biomedical Sciences / biochemistry , cancer , development , genetics
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experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
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, public opinion polls, women’s rights legislation across US history and comparatively, and the role of masculinity norms in the retreat of men from employment and family. The pre-doc will use large data
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quantities of complex data. An eye for precision and detail is essential. Project leadership or coordination experience helpful. Demonstrated success thriving in a large complex organization and with managing
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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. The Postdoctoral Fellow reports directly to faculty in the Digital Reskilling Lab and