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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
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research workflows, and, where possible, public tools or model artifacts. Basic Qualifications PhD (completed or near completion) in one of the following or a closely related field: Computer
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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, and accomplishments in the field for candidates with recent PhD (within 1 year of application). Applications and supporting materials should arrive by 23 January 2026, for full consideration. However
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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position in the Gozzi Lab at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab’s primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents
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other components in the food formulation determine the color. The project combines experimental characterization (spectroscopy, microscopy, and light scattering) with modeling of light transport
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a