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, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds
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, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine
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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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the opportunity to work at the interface of developmental biology, reproductive endocrinology, and cutting-edge spatial and 3D imaging technologies, within a collaborative, well-resourced research environment in
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and/or single-cell nucleosome, methylation and transcriptome sequencing. The workflow will be adapted to 3D light-sheet microscopy and thick melanoma samples, addressing challenges linked to image
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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, manufacturing and experimental testing of composite materials, design of lightweight structures, 3D printing, cryogenic applications, sustainability of materials, among others. Duration of the grant: 1 years
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Are you passionate about advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging
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of Amsterdam, under the supervision of Prof. Noushine Shahidzadeh (expert on crystallization and sol-gel process in confinement) and Prof. Hannelore Derluyn (expert in micro-CT 3D imaging for porous media
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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