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, visual, and digital sources, itstudies how repertoires of resistance evolve and travel. This includes the study of ‘everyday resistance’, ‘constructive resistance’, ‘reverse discourse’ and ‘networked
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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to funding being confirmed by the industry partner. The EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero is a partnership between three of the UK’s leading
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Robotics and Artificial Intelligence for Net Zero is a partnership between three of the UK’s leading universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics
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within developing countries. It will analyse different law and governance systems that implement this right at national levels and the potential steps for improving effectiveness. The researcher would be
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("Advanced Wide Bandgap-based Power Processing and Management for Future Space Exploration") is a Horizon Europe MSCA Doctoral Network Joint Doctorate (DN-JD) initiative developed in collaboration with
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing airline operations (e.g., fleet composition, scheduling, routing) based on new
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are needed to prevent infections with bacterial enteropathogens and AMR. Our previous research showed that there are differences in the E coli colonization of infants’ microbiome between LMIC vs. high-income
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different strain rates. You will investigate deformation mechanisms, strain localisation and damage from quasi-static to dynamic loading. A central challenge is developing optical testing methods that remain
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing