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://www.rowland.harvard.edu/). Our lab's primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents, that package random sections of the host genome for use in genetic exchange. These virus-like
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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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deep expertise in modern machine learning and a strong record of research accomplishment who are excited to advance foundation models, agentic systems, and new AI approaches for high-impact scientific
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access to local computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory (HCO) and the Smithsonian Astrophysical Observatory (SAO
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individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
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astrophysics. The successful candidate will have access to our new computing facilities and will have the opportunity to interact and work with researchers in both the Harvard College Observatory (HCO) and the
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, Magellan, MMT, Gemini, VLA, and ALMA. Prof. Berger is also a senior Investigator in the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI ). Applicants should submit a cover
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ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows. Experience in computational neurobiology
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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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. Demonstrated ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows. Experience in computational biology