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, sensor design and calibration, finite element modelling, polymer processing, embedded electronics, and ex vivo tissue methods. The University is uniquely positioned to benefit any applicant interested in a
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will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin of the welded structure and provide the basis for the second PhD project
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production, greater predictability is required, which can be gained by utilising the complementary strengths of empirical modelling, finite element analysis, and artificial intelligence. By combining
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resistance of ceramic shell moulds used in investment casting. Advanced in situ experiments combined with multi-scale Finite Element Method (FEM) modelling will be employed to identify the key stress and
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damage development as a function of fatigue loading. The models will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin
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-after dimension to their research training. The Project The project aims to develop reliable, adaptive, and universal statistical methods a broad range of statistical inference tasks in quantum systems
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in-house design. Strong ability to use simulation software tools including finite difference time domain methods (FDTD), eigenmode expansion methods (EME), or finite-element methods (FEM), using tools
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twin of the face using the finite element method and multimodal MRI data. A multiscale active constitutive law for facial muscles will be developed to describe different contraction patterns
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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written
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verified through simulated and/or laboratory-generated data. Responsibilities and qualifications Your primary responsibilities and tasks include: Development and advancement of multi-fidelity finite element