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this by monitoring infectious disease trends and outbreaks using systems that collect information over time and allow unusual changes to be detected. While these normally count laboratory test results
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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plant size. The simulation approach will be applied to small sets of bubbles on representative patches of heat transfer surfaces. An adaptive mesh refinement approach will be used to enable the liquid
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Manufacturing process for Cold Spray with Artificial Intelligence, operate the AM machine, characterise the materials with scanning electron microscopy and transmission electron microscopy with tensile testing
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of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing line and testing platform at PEMC. Motivation As the mass transportation sector is moving towards electrification
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electric motor manufacturing line and testing platform at PEMC. Motivation Electrification is shaping the future of transportation sector, where next-generation electrical vehicles require motors
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are looking for An enthusiastic, self-motivated, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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addition, please also enclose the following with your application form: Transcripts of all your academic qualifications. If you have not completed your master's degree yet, you should include a transcript of
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testing (NDT) or laser ablation. This exciting PhD opportunity offers a unique combination of academic and industrial challenges, equipping the student with the skills to tackle complex mechatronics