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(e.g., PyTorch, TensorFlow, JAX), and scientific libraries (e.g., NumPy, SciPy, scikit-learn) Familiarity with medical images such as x-ray, CT, or fluoroscopy. Proficiency in Python coding language and
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system
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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will
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of what microscopes can achieve. You will create and apply sophisticated algorithms, physics-based simulations, and machine learning models to process complex data from our cutting-edge imaging systems
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you want to unravel the crystallization of phase change materials in heat storage devices? Do you like to work with advanced imaging techniques like CT and MRI? Do you want to understand the relation
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precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC) of the tongue is a rare yet
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, including trans-differentiation of fibroblasts into neurons (iNeurons), development and screening of antisense oligonucleotides (AONs), live-cell imaging, and transcriptomic analyses. Laboratory work will
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of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge