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, pharmacy and clinical microbiology. We are seeking an experienced organic chemist for a one-year postdoctoral position focused on the design and semi-synthesis of novel antibacterial agents. The successful
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agents. The successful candidate will join an interdisciplinary team working to combat multi-resistant Gram-negative infections (CREs and 3GCs) through innovative chemical strategies. The postdoctoral
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The Department of Computer Science and Engineering at the University of California, Riverside invites applications for a full-time Postdoctoral Scholar position in the area of embodied agents across virtual and
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implications: explore scenarios of AI’s commercial development, particularly the rise of agentic and multi-agent systems, and assess their potential environmental impacts. Indirect effects: estimate the indirect
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bottleneck. You will explore methods to partially automate context engineering, enabling faster development cycles, stronger scalability, and more autonomous, high-fidelity multi-agent systems within
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the next generation of secure agentic AI systems through cutting-edge research in adversarial machine learning and formal verification. The Role As a research scientist, you will contribute to frontier AI
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, multi-agent systems, and agent based modelling) and energy systems (energy modelling, renewable energy, energy management, and energy in agriculture). The position will be under the direction of Dr. Karl
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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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adaptation of existing approaches for scientific applications; (ii) Large Language Models (LLMs) and multi-modal foundation Models (iii) Agentic AI techniques for scientific domains; and (iv) techniques