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Field
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position - C++ Software Engineering of a 3D Cell-Based Tissue
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational
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Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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of these 3D-printed parts require protective coatings, yet the compatibility between coatings and AM substrates remains poorly understood. Addressing this gap is essential to support the wider adoption of AM in
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of numerical modelling and the validation of numerical results by an experimental study on material level. Firstly, the development of hydration processes including the carbonated matrix in three-dimensional
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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collaborates with prestigious global companies and institutions. This PhD project, a collaboration between AMADE and Btechc, addresses the high computational cost of modelling failure in large-scale composite
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The project focuses on the experimental realization and study of artificial microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics
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methods that enable designers to improve manual repair and automated remanufacturing using 3D-printing technologies. Job description We are looking for two PhD candidates who will contribute to the ADD-reAM