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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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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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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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, faculty, and staff. Responsibilities: Conduct in-depth qualitative and quantitative data collection with Texas’ agricultural stakeholders, Extension agents, agricultural input suppliers, crop consultants
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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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for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted discovery of novel
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covering letter) Feed formulation Alternative feed resources Forage analyses Camel production Dairy management Milk and meat analyses Livestock systems Experience in working as a member of a multi
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML