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Field
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world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, bio-printing for medical applications, micro-robotics, and materials science. PhD project
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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Description This thesis will rely primarily on the expertise of the RDH (Robotics, Data Science and Healthcare Technologies) team at the ICube engineering sciences laboratory (UMR 7357), in the field
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improve surgical workflow, shortens surgery time, enables unrestricted movement tracking, and reduces infection risks. Eliminating markers enables robot-assisted or fully automated femoral implantation
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physiology, electronics, robotics, microengineering, materials science, AI, and pharmaceutical science. The doctoral candidates (DCs) will receive comprehensive training through research projects, secondments
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critical computing. High-level topics include: social identity cues in the design of LLM-based chatbots or social robots trust and reliance on conversational agents designed to be charming and disarming so
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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part