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Field
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focus on solid dosage forms and 3D printed drug products. The research will integrate advanced imaging, computational modelling, and pharmaceutical sciences to improve the resolution, reproducibility, and
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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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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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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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-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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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