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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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tomorrow’s challenges in food production and environmental resilience. Your colleagues: You will join the Department of Advanced Computing Sciences (DACS). We collaborate with partners at Brightlands Greenport
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worldwide community. Our department’s research programme focuses on new strategies to 1) design, build and characterize quantum materials, 2) develop quantum sensors endowed with the ultimate sensitivity
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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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design up to phased-array implementations (3 vacancies) With its partners, the University of Twente founded POLARIS, a programme running under the Dutch National Growth Fund (NGF). It realises
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) Country Netherlands Application Deadline 5 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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programme development, programme innovation and programme management. Creates knowledge and publishes on executive learning, life-long learning and the educational philosophy that fosters life-long learning
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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