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prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing mechanisms with Fe-SMA fibres, including activation, recovery stress
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at the Department for Functional Materials in Medicine and Dentistry (FMZ) / Center of Polymers for Life (CPL), Julius-Maximilians-Universität Würzburg (JMU). The candidate will work on advanced 3D bioprinting and
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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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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of sources and chemical transformations are not yet well represented or tested in large-scale models. The goals of this PhD project will be to better represent these processes in a global 3D model, to test
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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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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
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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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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled