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seeking a new testing protocol. This PhD will involve a fundamental exploration of SCC in high strength Al-Zn-Mg-Cu aerospace aluminium alloys. State of the art electron microscopy and hydrogen measurement
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this challenge, the Faculty of Engineering's Department of Built Environment and Doctoral School of Engineering and Science offers a PhD stipend. The stipend is open for appointment within the doctoral programme
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. The project will finally lead to new strategic plans for global observations of the relevant species. Your Qualifications / Experience: A master's degree in physics, engineering, environmental sciences, or a
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mycoprotein ABUNDA. This placement will provide hands-on experience of large-scale mycoprotein production linking fundamental biological research with industrial innovation and pre-market food technology. Using
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prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in project management, industrial engineering or equivalent. Your
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of infrastructure components (e.g., pavement stones, concrete kerbs, sewage pipes) is gaining momentum, but scaling remains difficult: supply and demand rarely align in time, place, and specification, and
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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of these findings into future dietary intake estimates. This work will involve the use and optimization of advanced analytical tandem mass spectrometry methods, assessment of vitamin D bioaccessibility using an in
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technology in real‑world settings, how digital insights influence decision‑making, and how the technology affects human and animal experiences on dairy farms. It will also explore associations between
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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep