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health records. Medical Reasoning and Grounding: Developing advanced post-training and alignment techniques (RLHF, DPO, GRPO) to ensure foundation health models reason accurately and safely. Agentic
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, efficiency enhancements result in rebound effects due to feedback between enhanced efficiency and food system economics. The successful candidate will collaborate in a multi-disciplinary, international team
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and neural activity. In particular, Postdoctoral AI Researchers may help develop brain foundation models that predict patterns of neural activity from large-scale, multi-regional recordings. Areas
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi
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and multi-agent systems for conservation genomics; perform feature engineering using chromosome-level genome assemblies. 15% Writing: Contribute to scientific manuscripts, progress reports, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
contribute to the development of next-generation AI software within the ACM Lab that leverages LLMs, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large
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, faculty, and staff. Responsibilities: Conduct in-depth qualitative and quantitative data collection with Texas’ agricultural stakeholders, Extension agents, agricultural input suppliers, crop consultants