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engineering tools. Your work will span circular materials research (plastics and metals), the creation of high-quality material models, the development of Digital Twins, and the use of AI-based methods
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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. These computational models can provide crucial mechanistic insights into the key parameters governing these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D
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in development to ensure the materials are safe, affordable, and user-friendly. The project will also explore behavioural drivers, incentives, and innovative business models to stimulate adoption
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integrated early in development to ensure the materials are safe, affordable, and user-friendly. The project will also explore behavioural drivers, incentives, and innovative business models to stimulate
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in laboratory work and materials characterization techniques (e.g. SEM, ICP-MS) Basic knowledge of thermodynamic modelling or willingness to learn tools such as FACTSage Analytical mindset with strong
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) are common in nature and industry, with examples ranging from blood flow and recycling to waste slurry transport, additive manufacturing, and energy storage solutions. Despite their practical importance
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applications for a PhD position in electronic-structure theory. The project focuses on the development of new theoretical frameworks for describing electronic dynamics in atoms, molecules, and materials, with
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tissue growth models, and experience with mechanical characterization of biological materials is a plus. The ability to work collaboratively in interdisciplinary teams and bridge research groups. Excellent