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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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Want to help replace painful prostate biopsies with smarter ultrasound? Join MOMENTUM, an NWO-funded project developing nanobubble-enhanced ultrasound imaging for cancer diagnostics, and design the
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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assays across multiple zebrafish models of leukodystrophy. Characterise disease phenotypes using multimodal imaging and complementary experimental approaches. Apply advanced imaging techniques, including
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quantification and experimental design in the context of wave-based imaging; implement prototype numerical methods and test them on increasingly realistic computational wave-based imaging problems; collaborate
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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computational wave-based imaging problems; collaborate with researchers in applied mathematics, scientific computing and wave-based imaging, as well as with academic and industrial partners; present your results
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an image. Modern inverse freeform design methods compute surfaces that convert a given source light distribution to a desired target light distribution. These can be used to guide the design process for
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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