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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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for An enthusiastic, self-motivated individual with an interest in empirical and modelling work to test out new reactor designs. This will involve some work with Matlab or similar program to quantify mixing systems
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into how to improve patient care during recovery from pneumonia. The PhD student will determine the burden of recovering from pneumonia on primary care consultations and hospital readmission episodes in
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diseases. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. The research will be conducted using state-of-the-art equipment
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the drivetrain. Alternative machine topologies such as axial flux, transverse flux, and homopolar designs offer unique advantages by enabling 3D flux paths, novel cooling strategies, and increased architectural
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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to redefine how condition-monitoring systems operate. The proposed approach will reduce unnecessary data collection and help decision-makers and system designers identify the most effective condition-monitoring
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simulations and computer-aided design, as well as training in more general training in scientific communication, project management, collaborative working, and mentoring and leadership. All these skills