10 algorithm-development-"The-University-of-Manchester" uni jobs at University of Manchester
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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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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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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 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
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of Manchester and the University of Birmingham. The project belongs to the Mathematics for Safe AI funding stream, which aims at assessing how we can leverage mathematics – from scientific world-models
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Stappers who leads the MeerTRAP, TRAPUM and PSS-SKAO teams at the University of Manchester, and will be a member of a team of developers with international industry and academia backgrounds. The team
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are experts in cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. You will work with clinical and experimental data to develop innovative geometric
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm