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The University of Stirling invites applications for up to three PhD positions in Applied Economics within the Applied Economics Lab, a vibrant research cluster in the Economics Division of Stirling
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PhD Studentship: Microswimmers with Autonomous Propulsion Inspired by Biology and Designed with Physics Are you fascinated by working at the intersection of physics and synthetic biology? This PhD
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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research question of this PhD project is: How does extreme weather (e.g. heat waves and storms) affect the indoor environment (e.g. temperature, humidity, air quality), household behaviours and health, and
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Using capturing carbon dioxide and clean hydrogen is essential for a sustainable future in energy and chemical production. However, the transition is hindered by a lack of efficient, affordable catalysts. This EPSRC-funded project leverages cutting-edge X-ray spectroscopy to unlock how alkali...
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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. Further information on eligibility and how to apply via University Applicant Portal can be found in the Further Information document Further information on the Faculty of History's PhD programme can be
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the Further Information document Further information on the Faculty of History's PhD programme can be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/hihipdhis and https
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Duration of Award if full time preferred*: 4 years 1st Supervisor: Dr Tao Lyu 2nd Supervisor: Prof Bruce Jefferson This exciting fully funded PhD, with an enhanced stipend of £25,726 per annum
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high