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the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D
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experiment with multi-agent reinforcement learning workflows that coordinate component choices and parameters while enforcing system-level feasibility. LLM-assisted engineering workflows: contribute to domain
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes
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of an extension, subject to funding. You will apply and develop cutting-edge machine learning methods to integrate and analyse multi-omic data to identify disease phenotypes. A key aspect of the role is to bridge
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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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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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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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teams composed of Cable-Suspended Aerial Multi-Lifting Systems (CAMLs) and Aerial Robotic Manipulators (ARMs). The research will address fundamental challenges in multi-agent planning under heterogeneous