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recruitment and retention strategies, enhance training and engagement efforts, and cultivate class agents as key partners in annual giving and alumni engagement. Design and implement multi-channel marketing
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high-level expertise to research on AI safety in multi-agent systems. The appointee will work as part of a collaborative research team to investigate open challenges in AI safety, including surveying and
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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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priority will be given to those in the following areas. Artificial intelligence (with a focus on Machine Learning, Multi-agent Systems) Systems and networking Cyber security Established in collaboration with
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decisions between UAV–USV agents, using principles from game theory and multi-agent systems, to optimize cooperation and dynamic task allocation. Signal processing and control algorithm implementation
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latency constraints. - Federated and distributed learning for RAN hardware infrastructure management. o Knowledge of autonomous AI systems based on agents. Indicative skills/experience: - Multi-Agent
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from other academic institutions and industry. To learn more, visit https://ghrc.tamu.edu/. What We Want The Biocontainment Laboratory Senior Coordinator, under general direction, is responsible
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learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Our department is looking for a Research
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programme Reference Number AE2025-0552 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0552