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strengths in developing the fundamentals of AI and also in applying AI in Financial Technology and other areas such as Digital Health, and Robotics and Autonomous Systems. Our new Temple Quarter Innovation
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research that addresses emerging security threats in AI products, particularly as autonomous agents become more sophisticated and widely deployed. Working alongside a dedicated team of security researchers
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components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cybersecurity, and autonomous vehicles, where they interact
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intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Senior Research Engineer will play a key role in bridging
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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software 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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in artificial intelligence (AI) for settings involving multiple interacting decision-makers---whether autonomous AI agents, humans, or a combination of both. Applications include mixed-autonomy
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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that can be connected to a micropump to perfuse them with liquid and injecting with contrast agents. The diameter of the blood vessels created with this printing technique is limited to tens of micron in
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-Efficient Fine-Tuning (PEFT), and alignment strategies (e.g., Reinforcement Learning from Human Feedback [RLHF]) for healthcare and life sciences. AI Agents and Autonomous Reasoning, including the development