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-mechanical phase-field model incorporating hydrogen diffusion, mechanical degradation, and fracture evolution. - Employ physics-informed neural networks (PINNs) to infer hidden fields and accelerate
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well they meet the following criteria: A first class (or high upper second) honours degree in Engineering, Physics or equivalent Excellent English written and spoken communication skills An interest in
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of the funding organisation, only UK-based students can be selected. How to apply Applications should be submitted via the Physics PhD programme page. In place of a research proposal, you should upload a document
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proactively to problem solve Application Process To apply, please upload: A covering letter/supporting statement Your CV The closing date for applications is 12 noon on Tuesday 26 August 2025
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. The object of our studies is to gain a fundamental understanding of this incredible family of glycans, opening the potential to use that knowledge to design new drugs, new biomaterials or to identify new
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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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process conditions. Furthermore, this research will focus on the development of a model, allowing for virtual testing and optimisation of the chemical recycling process. This includes potential
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/people/nc266.html and here https://www.eng.cam.ac.uk/news/engineering-better-car-experience . Four years funding is provided by the UK's Engineering and Physical Sciences Research Council (EPSRC) and JLR
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addressing the behaviour of thin foil materials for aerospace forming applications. The successful candidate will have a first-class or upper second-class honours degree in mechanical engineering or a related
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51 Faculty of Physics Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 4262 The Vienna Doctoral School in Physics is