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environment requiring a high level of multi-tasking. Ability to work under pressure and unsupervised required. Ability to obtain Passport Acceptance Agent Certification within one week of start date. Preferred
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environment requiring a high level of multi-tasking. Ability to work under pressure and unsupervised required. Ability to obtain Passport Acceptance Agent Certification within one week of start date. Preferred
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, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human-robot interaction. Technical
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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. - Contributes to real-world experiment designs and corresponding metrics to test capability enhancements of complex multi-agent systems. - Participates in demonstrations to stakeholders, reviews and evaluates
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for the analyses will be the intervention plans of multi-stakeholder platforms (Ethiopia) and expected behaviors of agripreneurs and farmers (Kenya) using agent-based models; Assess the potential for co-developed
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environments; and (iv) Agentic AI systems for autonomous discovery, planning, and decision-making. The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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-first approach in developing solutions to use Workday Extend’s AI features. Prototype, test, and help adopt Workday-delivered AI Agents. Leverage the use of Workday’s Agent System of Record (ASOR
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understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions. ANGEL is looking for a motivated Research Engineer to conduct research on AI
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at Harvard Medical School in Boston Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative