13 estimation-methods Postdoctoral positions at Harvard University in Ireland-University-Ranking-2024
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, ● Methods for heterogeneous treatment effects estimation, ● Methods for multiple exposures, multiple outcomes, ● ML and AI methods for causal inference, ● Bayesian causal inference, ● methods
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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economists, physicians, and statisticians—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative
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. transient laser spectroscopy), organic synthesis, and electrochemistry. Responsibilities: ● Performs research and/or development in collaboration with others ● Optimize and investigate new methods and
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. Specifically, our core technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging method for probing electrochemical processes at nanoscale sites on complex electrodes. We
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for instrument control, synchronization, and image acquisition. This project builds on our recent paper (Nature Methods 2026, in press, preprint ) on voltage imaging of neurons distributed across the larval
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: Sitting using near vision use for reading and computer use for extended periods of time. Lifting (approximately 20 to 30 pounds), bending, and other physical exertion. As part of your application, we
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modern AI/ML methods to protein and cellular biology, including protein structure prediction, protein–protein and small-molecule–protein docking, cell state prediction from large-scale Perturb-seq datasets