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with no cure, and we urgently need new ways to understand and treat it. This exciting PhD project combines cutting-edge stem cell technology, 3D bioprinting, brain cell models, and advanced genomic
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Shape the future of cancer research with AI-Driven 3D spheroid model simulations! Join us! We are seeking a motivated PhD candidate to join our interdisciplinary team bridging experimental in vitro work
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preclinical evaluation in physiologically relevant 3D models. This PhD position sits at the interface of nanochemistry, and translational cancer research, and offers the opportunity to contribute to a next
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Empa within the framework of SURPASS are as follows: Volumetric prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing
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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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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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quantitative analysis and predictive modelling of biomaterials, tissues, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with
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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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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds, hydrogels or 3D biological models. What are we looking