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(PyTorch, Tensorflow etc.) Knowledge of multi-agent systems and autonomous agent modelling Expertise in Machine Learning and Artificial Intelligence We consider the following as an advantage: Willingness
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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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be taught. Able to multi-task, pay close attention to details, and work calmly and professionally under pressure. Strong interpersonal skills. Courteous and polite. Appointment Information This is a 67
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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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scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets Enhancing and deploying computational platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc
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The focus of the project is artificial intelligence (AI) and its relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively
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England. Attracting and retaining high-calibre people is fundamental to our continued success. The Role We are looking to recruit a laboratory technical specialist to support ongoing research studies
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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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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Website: https://ilijabogunovic.com/rhine-ai/ The Rhine AI (Reasoning, Human