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Field
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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from other acquired brain injuries (e.g., traumatic brain injury, brain tumour, stroke) – this work package will include quantitative and qualitative studies; second, to develop a training programme for
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degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Excellence in computational science and mathematics Programming skills in any
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according to how well they meet the following criteria: A first class or strong upper second-class undergraduate degree with honours in Engineering, Physics or Materials Science Excellent English written and
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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including the newly established Quantum Hub in Sensing, Imaging and Timing (QuSIT) and a newly awarded Royal Academy of Engineering (RAEng) Research Chair on multistatic radar systems. Finally, it will
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, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
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exercise science, human nutrition, human physiology, biochemistry, food science or a related subject. A relevant Master’s degree and/or experience in one or more of the above subjects will be an advantage
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scope to define the project during the first year of study in line with their own research background and interests. Applications are sought from people with either a social science master’s level degree