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of this research fellowship is to advance intelligent, agentic AI-driven, goal-oriented mission planning for EO satellite constellations, with a strong focus on autonomy, responsiveness, and coordinated execution
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Location ST. LOUIS, MO 63110 Position Summary The Pereira Laboratory in the Department of Radiology at WashU Medicine is seeking a highly motivated Postdoctoral Research Associate to join a
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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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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | 3 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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will arise as skill set, interest, project progression, and independence is demonstrated. - Must be willing to work with pesticides and potentially biosafety risk group agents of level 2. - Work may
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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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planning systems, or multi-agent systems. Familiarity with privacy and security techniques such as differential privacy, secure aggregation, secure multiparty computation, homomorphic encryption, trusted
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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