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Field
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will transition in a second phase to white box approaches that result in interpretable models. For ground truth data, μCT data will be used. A similar approach will be applied using surface roughness
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Prostheses with Real-Life Colour Appearance". The aim of the programme is to produce high-fidelity silicone-based facial prostheses by modern additive manufacturing (3D printing) techniques. The purpose
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cultures—a powerful 3D ex vivo model—this project will dissect the mechanistic links between mTOR signalling, reactive glial phenotypes, and complement activation. The project will also incorporate human
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, validate, and refine high-fidelity 3D models of blood flow and vessel geometry using industry-standard CFD software. Analyze simulation results to provide actionable recommendations for design improvements
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methods for biomedical and toxicological research Establishment and characterisation of 2D cell culture and 3D sphere models based on human primary cells and induced pluripotent stem cells (hiPSCs) Using
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than RGB will be actively researched. Exploring 3D canopy modelling and plant growth dynamics for digital twin integration. Self-supervised learning will generate multi-modal agricultural pre-trained AI
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conversion of 2D surface temperature measurements into 3D temperature fields. High-fidelity FEA models will be developed to generate the necessary data for constructing a novel temperature reconstruction
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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-material capability with a suitable closure model; (2) improved strategy for interface tracking/capturing; (3) very high-speed scenarios with use of nonlinear Riemann-solvers. If time allows exploratory 3D
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for cell sheet models in 2d, and for experimental 3d systems of entangled active polymers that share properties with clusters of living worms. This project involves an interdisciplinary team with broad