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toolpaths for robot-assisted additive manufacturing with dynamically changed material accumulation directions. This research will be conducted in the School of Engineering at the University of Manchester, and
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for robot-assisted additive manufacturing with dynamically changed material accumulation directions. This research will be conducted in the School of Engineering at the University of Manchester, and is funded
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develop a feedback interface integrating human natural sensory and robot’s artificial information. This will encompass mechatronics design, system integration, robotic control, computer vision algorithms
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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Development Institute), as well as two other PDRAs (remote sensing and social science) and a dedicated project manager, all based at the University of Manchester. The role also involves close collaboration with
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mapping algorithms for governments in Sub-Saharan Africa. The PDRA will contribute to development of machine and deep learning mapping algorithms in one of the IrrEO’s case study countries (Nigeria
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of Engineering at King’s College London, and Dr Mehran Hosseini from the University of Manchester. You will join a vibrant research environment, with several researchers in Dr Paoletti’s lab working on related
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Development Institute), as well as two other PDRAs (remote sensing and social science) and a dedicated project manager, all based at the University of Manchester. The role also involves close collaboration with
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, the successful candidate will develop parametric microscale lattice structures capable of a wide range of mechanical properties (including auxetic and non-linear elastic response). Artificial Neural Networks (ANNs
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the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact