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libraries developed by CERN and its partners to deploy machine learning algorithms on FPGAs. Leading the development of a library for hardware-aware end-to-end training and optimization of neural networks
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, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry. Project background We foster a culture of continuous improvement, transparency, and no BS
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analysis. Within the NGT project, we seek to make best use of Machine Learning (ML) algorithms in this upgrade to exploit the full potential of the upgraded experiment. Responsibilities Develop ML algorithms
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interesting collisions for further analysis. Within the NGT project, we seek to make best use of Machine Learning (ML) algorithms in this upgrade to exploit the full potential of the upgraded experiment
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student position (100%) in Computer Vision for 3 years on the topic of offline to online conversion of historical handwritings within the SNSF-funded research project 'Egrapsa: Retracing the evolutions
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The Department of Ancient Civilizations of the University of Basel invites applications for one PhD student position (100%) in Computer Vision for 3 years on the topic of offline to online
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22 Mar 2024 Job Information Organisation/Company CERN - European Organization for Nuclear Research Department Human Resources Research Field Computer science » Computer systems Researcher Profile
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7 Mar 2024 Job Information Organisation/Company ETH Zurich Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Country Switzerland Application
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as a transformative approach in AI, enabling a wide range of applications, from natural language processing to computer vision and beyond. However, to effectively exploit their capabilities, platform
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for a closed-loop decision support system that can be verified in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of transparent machine learning