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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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Applications accepted up till Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Dr Yi Feng (The University of Edinburgh), Dr Mattias Malaguti (The University of Edinburgh
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at scale raises privacy and real hardware constraint concerns. This PhD will focus on those challenges by developing a distributed, privacy-preserving NILM framework, so we can move from small research
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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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The Photochemistry for Materials team is looking for an enthusiastic PhD candidate to join our research team at the University of Warwick (UK) to carry out a 4-year PhD project under the supervision
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, Chemistry or a relevant / closely related engineering discipline, or equivalent research, industrial or commercial experience *Candidates who have not yet been officially awarded their PhD will be appointed
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they offer a new approach to the development of in vitro models which offers great potential in the development of more effective models which can better evaluate new therapies. This PhD project will focus
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industry or academia. Many alumni progress to senior engineering positions, R&D leadership, entrepreneurial ventures in sustainable aviation as well as to faculty positions in academia. This PhD is a chance
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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of the following specific requirements: A minimum of an honours degree at first or upper second class (2:1) level (or equivalent) in Material Science, Chemistry/chemical engineering, or Mechanical