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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agochallenges in cancer genomics and precision medicine. Specific areas include: 1) Building the Genomics to Knowledge (G2K) agentic AI framework for automated transformation of multi-omics data into biological
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of the Accelerator Systems Division (ASD), Advanced Photon Source (APS) is hiring a postdoctoral researcher for a multi-year appointment. The postdoctoral researcher will work to develop and deploy advanced AI/ML
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strategies for acidic and aqueous media, including selection of reagents, precipitation agents, functionalized materials, ion-exchange resins, staged separation, and selectivity and yield optimization in multi
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agents, functionalized materials, ion-exchange resins, staged separation, and selectivity and yield optimization in multi-impurity systems. Reactor design and scale-up from batch to prototype, including
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. The research targets a new generation of intelligent agents that learn through sequential interaction, and is organized around two pillars united by a shared reinforcement learning foundation. Embodied
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of the following would be considered an asset: LLM-based clinical decision support, rare disease diagnosis, or diagnostic reasoning systems. Retrieval-augmented generation, agentic AI workflows, prompt engineering
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foundation models. This is an exceptional opportunity to contribute to significant scientific discoveries and push the boundaries of AI in Earth science applications. We are looking for passionate and driven
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and implement experiential and data-informed learning methodologies, including simulations, venture creation frameworks, and multi-agent learning environments involving entrepreneurs, investors, and
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, bioinformatics, genetics, neuroscience, data science, or a related discipline and have experience in machine learning, multi-omic data analysis, microbiome research, and/or systems genetics. Position Type Research
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algorithms, including exploration, empowerment, and multi agent coordination. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged