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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
immunologically active agents. It is a multidisciplinary endeavor requiring knowledge in pharmaceutics, chemistry, engineering, biochemistry, biologics, pharmacokinetics, drug metabolism, and biology. This is a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
of Pharmacoengineering and Molecular Pharmaceutics (DPMP) is engaged in research and education in drug delivery options to optimize the therapeutic efficacy of pharmacologically and immunologically active agents. It is a
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for lifelong multi-robot operation, using state-of-the-art parametrisations of stabilising controllers, data-driven control and multi-agent reinforcement learning. The postholder will also provide guidance
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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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targets to promote disease. You will implement a pipeline for identification of host proteins targeted by effectors from Magnaporthe oryzae , the causal agent of the destructive blast disease decimating
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on development of novel vision-language foundation models for the analysis of digital pathology images. Develop AI agents that use foundation models for the discovery of biomarkers Work in a multidisciplinary team
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for cotton jassid, emphasizing microbial control agents, including entomopathogenic fungi and entomopathogenic nematodes, and evaluating their compatibility with generalist predators. Responsibilities
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centralized. The successful candidates will work at the intersection of federated learning, foundation models, multimodal biomedical AI, privacy-preserving machine learning, continuous learning, and agentic AI
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of candidate therapeutic agents. Applicants should possess pronounced expertise in keratinocyte biology and a strong foundation in cellular and molecular biology. Demonstrated experience with mammalian cell
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and