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Field
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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therapeutic targets and strategies to improve clinical outcomes. The successful candidate will develop skills in 3D cell culture models, multi-omics and more. We are seeking a highly motivated candidate with a
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safety, combining simulation, laboratory testing, and in-orbit validation. The candidate will create dynamical and photorealistic 3D models of the tether and spacecraft to support both engineering analysis
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07.08.2026, Academic staff The professorship of Digital Structures with Mineral Materials is looking for an enthusiastic doctoral (PhD) candidate for a project on reinforcement of 3D printed
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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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objective of developing 3D laser processing strategies for aerodynamic bearings with enhanced tribological performance. The doctoral candidate will: Leverage and extend KU Leuven’s state-of-the-art ultrashort
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interpreted using deep learning to estimate tool-to-retina distance and generate accurate three-dimensional navigation commands without relying on conventional 3D reconstruction. Research Objectives
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and synthesize via light-based 3D-printing architecture (meta)materials for medical soft robotics applications. Furthermore, the morphology, microstructure, and mechanical behaviour of the metamaterials
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-year research and innovation programme developing next-generation circular steels that can safely operate in hydrogen environments. By combining advanced experiments with multiscale modelling, CIRHY aims
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. Demonstrated experience in one or more of: medical or optical imaging (e.g. OCT, MRI, CT); image processing and analysis of 2D/3D data; computational modelling, simulation, or optical system design. Proficiency