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Field
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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on a voluntary basis. Where to apply Website https://www.academictransfer.com/en/jobs/354609/postdoc-in-geometric-learning-d… Requirements Specific Requirements A PhD degree in applied mathematics
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Mathematics 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
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with future developments in the industrial ecology field What you bring This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
public institutions in the justice sector. The project will seek to understand how software production -- the practices, economic models and material conditions necessary to deliver digital services
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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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