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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Passionate about sustainable steel production? Join us in
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computing in materials. You will use a combination of cryogenic scanning probe microscopy techniques beyond the state of the art in high magnetic fields. You will study (quasi) 2D materials and use atomic
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation
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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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, data science technologies and development methods, identification of future applications of AI, and monitoring evolutions of advanced technologies (such as quantum computing) to explore their suitability
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young people through experimental studies. This project is part of the Youth and Media Entertainment program group, which has a longstanding tradition of studying social media and young people. We expect
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering