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for medical applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro
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, earth observation, and robotics. Consequently, a MUDS student will learn to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains
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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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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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works there, it can work in corporate negotiations, policy simulations, cooperative robotics, and beyond. Why Werewolf? It’s a perfect storm for testing AI intelligence: incomplete information, shifting
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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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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