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for automatic segmentation and morphometry of histological images; - Compare the predictive value of AI-driven image analysis with clinical and biomarker data; - Collaborate with international experts in medical
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using deep learning and AI-driven image analysis. You will: - Analyse pre-implantation kidney biopsies according to the Banff criteria; - Apply AI methods for automatic segmentation and morphometry
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to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team working across the Cognitive Neuroscience Department and the Mental Health and Neuroscience Research Institute
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of translation is crucial for controlling protein levels and guiding development. In the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging
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. Besides this, you will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other
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the Multiscale Imaging of Brain Connectivity section (CBClab) within the Department of Cognitive Neuroscience (Faculty of Psychology and Neuroscience, Maastricht University), and in the division for Neuroscience
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will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who
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readiness of these smart materials is still low, which makes their integration in a smart material system with various segments a challenging design assignment. Therefore, it needs elaborative testing and
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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with colleagues with diverse backgrounds? The Informatics Institute is looking for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our