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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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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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estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear stress fields); design computational pipelines that integrate image-based anatomy, blood flow physics, and uncertainty quantification
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advancing medical imaging and improving cardiovascular care? Join us in developing a revolutionary multi-aperture ultrasound platform that enables comprehensive 3D imaging and biomechanical assessment
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Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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have enabled rapid progress in many fields of engineering and science. In many modern applications, particularly in advanced 3D imaging assisted characterization, sensing, simulation, vast amounts
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an experimental aerodynamics team has concentrated on the development of advanced non-intrusive measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren