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-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large
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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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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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. 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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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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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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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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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
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time Spectroscopic studies of galaxies and AGN at intermediate to high redshift Analysis of JWST slit and/or slitless spectroscopy datasets and/or JWST imaging datasets Development of methods for large