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Field
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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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other labs will be developed for comparison with other techniques and computer IRIS Lab for analyses of the 3D mapping by IA models References [1] A. Kiełbasa, K. Kowalczyk, K. Chajec-Gierczak, J. Bała
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will build an experimental and computational platform based on 3D-printed, brain-mimetic tissue models with tunable transport properties, where interface transport can be measured and predicted
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- Geological 3D modelling of basement architecture - Multi-scale deformation and microstructural analysis - Targeted petrochronological studies on magmatic and deformation events - Integration with regional
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-constrained, multi-scale structural framework. The project integrates: - Regional geological mapping and structural analysis of the Archaean basement - Geological 3D modelling of basement architecture - Multi
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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3D models and co-culture setups, is required. Experience with immunofluorescence/IF staining and microscopy (especially confocal microscopy and downstream quantitative image analyses using tools
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metastatic lesions, and how these differences shape varying responses to immunotherapies. To achieve this, spheroid and organoid models will be combined with synthetic biology strategies and state-of-the-art
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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high potential for progression. The aim of the project is to develop an innovative in vitro model enabling investigation of the (micro-)invasion process in DCIS and identification of molecular markers