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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
contribute to the development of next-generation AI software within the ACM Lab that leverages LLMs, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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, the Eurobiomed competitiveness cluster, the Infectiopôle Sud Foundation, the Parafrap Laboratory of Excellence, the FHU-TIE (Fédération Hospitalo-Universitaire -Triangulation between the host, Infectious agents
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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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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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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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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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26957 Mathematical Modeller (PhD/Postdoc) – Diagnostics for respiratory infections (m/f/d) PhD
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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