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Office of Responsible AI Department Website Link https://responsibleai.arizona.edu/ORAI Location Tucson Campus Address Tucson, AZ USA Position Highlights The Office of Responsible AI (ORAI
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, safety, and adaptability for agents operating in complex or human-populated environments. This Chair addresses this challenge—revolutionized by the emergence of artificial intelligence techniques—by
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skills to drive EAI innovations. Design, develop, and teach laboratory sessions and practice-based modules in Robotics & Embodied AI and related areas. Secure and manage research grants to support applied
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. The doctoral student will be responsible for developing and validating experimental protocols to overcome Pa(V)'s strong tendency to polymerize in the absence of a strong complexing agent and even in an acidic
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
efficient training of multimodal and foundation models Self-supervised, contrastive, continual, curriculum, and lifelong learning Agentic foundation models, tool use, self-improving or self-updating AI models
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Demonstrated expertise in socioeconomic dynamics of smallholder livestock systems. Familiarity with systems thinking, system dynamics, agent-based modeling, or other approaches for analyzing complex social
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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package III develops and tests remedies against the harmful effects of this rhetoric, using generative agent-based simulations and AI-chatbot-based dialogue experiments. The two postdocs advertised in
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anticancer agents, including cisplatin and the antileukemic nucleoside analogues fludarabine and cladribine, were strongly influenced by p53 status. These findings suggest that these novel compounds may
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-driven materials modelling, digital research workflows, and multiscale integration for Waste-to-Value energy conversion systems. As a PhD in AIM, you will help build the first ab initio–based Digital Twin