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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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undertake a PhD in the NanoPhotonics Group (NP) led by Prof Jeremy J Baumberg, FRS (https://www.np.phy.cam.ac.uk/ ), as part of a prestigious European collaboration on building DNA origami for nanomachinery
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degree or a master’s (or international equivalent) in a relevant mathematical sciences or engineering related discipline. Background knowledge in continuum mechanics, theory of partial differential
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. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Mechanical Engineering, Electrical Engineering, Mechatronics and Control Engineering
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Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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, especially if working on a related topic of wind energy. Applicants should have a MEng or MSc degree in Civil, Mechanical or Aeronautical Engineering with at least 2:1 honours. To apply, please contact
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induced damage mechanisms. This project utilises a precisely controlled mist film to minimise thermally induced damage, enabling efficient processing of advanced materials. As a PhD student, you will work
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Research Studentship in Engineering 3.5-year D.Phil. studentship Project: Electronic-free Mechanical Oscillators for Fast Locomotion in Soft Robots Supervisors: Prof Antonio Elia Forte Soft robots
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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering