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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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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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, 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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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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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
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: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep