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Field
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models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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predict the behavior. You will be embedded in our team, which holds dedicated in-house expertise in 3D printing, pH-feedback systems and modeling, and you will have assistance on the various aspects
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cells including macrophages). - Modelling of CKD-like vascular injury in 3D vascular organoids derived from induced pluripotent stem cells (iPSCs), exposed to phosphate, uremic toxins and pro-inflammatory
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joining technologies, motor winding arrangements, and 3D-printed structures capable of mounting semiconductor devices within the motor architecture. 2. Thermal Management The harsh thermal environment
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using diverse models, both in vitro and in vivo. The precise direction of the project will be developed according to the student's interests and emerging findings in the laboratory. Depending
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an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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experiments using cancer and stromal cell models, including CRISPR/Cas9-based genetic approaches to investigate Cx43-dependent mechanisms. Establish and characterise tumour–stromal co-culture and 3D models