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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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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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. 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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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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individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
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Researcher to join the hEDS*Omics Study, a multi-centre research initiative focused on improving recognition of hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorder (HSD
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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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University. The postdoc will contribute to and help lead projects that may involve concepts and priorities such as knowledge-graph-driven data integration, AI-powered literature review, agentic database search
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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