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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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to operate as a coherent network. This requirement can be theoretically fulfilled in a number of ways, including hardware approaches, e.g. the (wired or wireless) dissemination of the same clock signal
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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by the classical Rayleigh–Plateau instability. However, when vorticity and swirl are included, Erhard et al. (2022) have theoretically demonstrated the existence of nonlinear travelling-wave solutions
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commitment to sustainability in materials research, and the ability to contribute to a vibrant, collaborative research environment. Potential PhD programme of study: PhD in Engineering Department: Engineering
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is critical for a wide variety of engineering and environmental applications, remains unexplored. You will join a team of researchers that experimentally quantify the flow-physics of fundamental
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8821F Please leave the Research Area blank Select ‘PhD Physics Theoretical (full time) as the
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between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic Autonomy in Demanding and Long-Lasting
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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that respond dynamically to external forces. Such possibilities challenge conventional thinking in engineering and design. By studying how stresses, geometry, and material properties interact, we can develop