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Skip to content HARVARD.EDU About Mission / Vision People Annual Reports Contact Us Programs AWS Impact Computing Bias² Causal Inference CrisisReady Fellowships & Funds SPUDS Trust in Science See
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Knowledge of standard research methods and statistical techniques, including multivariate regression and causal inference methods Attention to detail, organized, strong written and verbal communication skills
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the fellow to become familiar throughout this project with statistical techniques for causal inference and high dimensional data. 3. “Impacts of weather insurance on adaptation, social networks and migration
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social science research projects preferred. Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred
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. Our faculty are leaders in the development of methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis
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computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI environments and tools. Prior experience
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focused on leveraging Bayesian deep learning, active learning, and federated learning to enable remote sensing platforms to collaboratively learn in situ without access to human experts. Fischer’s