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                . An important focus of our research is how these abiotic-biotic interactions create value for society, following for example the “Building with Nature” paradigm or investigating sustainable sources of marine 
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                of human IPSC-derived neurons and glia cells. This will be complemented by genetic, proteomic and imaging techniques and subsequent data analyses. As such, we are looking for a candidate with an interest and 
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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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                advancing image-guided precision irradiation and realistic disease modelling. As postdoctoral researcher, you will contribute to cutting-edge developments in preclinical CT imaging, precision irradiation, and 
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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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                (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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                an excellent reputation in its field with state-of-the-art facilities and leading scientists in the areas of biocatalysis, enzymology, organic chemistry and molecular imaging. Our biocatalysis community has a 
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                Nature of the Netherlands, Wageningen University, and Wageningen Marine Research. It aims to develop: (1) a validated prototype of an instrumented beam equipped with a multi-channel flatfish detection 
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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