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electron microscopy, atomic force microscopy, metal evaporation, wire bonding), performing computer-based simulations and modelling in COMSOL, physics of strongly correlated many-body systems. We offer you
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transistors to solve some of society’s most pressing computational challenges. Silicon-based approaches to quantum information processing offer advantages for scaling such as high qubit density, record qubit
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processing (reactive ion etching, optical/electron beam lithography, scanning electron microscopy, atomic force microscopy, metal evaporation, wire bonding), performing computer-based simulations and modelling
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) Willingness to perform animal experiments (FELASA qualification is beneficial) Previous experience with diffusion MRI, biophysical modelling, and tumor models is beneficial High motivation for scientific work
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for scalable, data-rich design and operation frameworks within diverse building contexts. For project-specific enquiries please e-mail Prof. Dongfang Liang, dl359@cam.ac.uk . For general enquiries, please email
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supervision, network-wide training schools, and research visits (“secondments”) to partner institutions in both academia and industry. The programme offers a unique opportunity to conduct high-impact research
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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conducted on qualified candidates for the position. The Department of Chemistry performs research, educational activities, and innovation at a high international level within e.g. energy, catalysis, and
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under the supervision of Prof. Emilio Martinez-Paneda on developing advanced computational tools to predict the nucleation and growth of cracks. The student will have access to state-of-the-art high
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Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 December 2025 Details Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies