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Field
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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for personal and professional further development. A structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral
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continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: www.fz-juelich.de/en/judocs The opportunity
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of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading experts in machine learning for healthcare. You will also be affiliated to the School of Health
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Leiden, which will maximize access to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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“Reinventing Multiterminal Coding for Intelligent Machines (IONIAN).” Why cooperative perception? State-of-the-art autonomous vehicles can miss a critical obstacle when their camera is blinded by sun glare
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Gionis. The position is part of the European project ARMADA funded by the Marie-Skłodowska-Curie Doctoral Network. The ARMADA project operates within the fast-growing field of Conversational AI, aiming
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are working closely with coastal communities to co-develop this platform and improve resiliency to climate events. Multiple robots will autonomously gather and transmit data real-time over a cellular network to
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colleagues, researchers and other staff. The opportunity to present your work at international conferences and build a network that will never leave you Standard contractual conditions for Dutch university