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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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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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, …). Successful candidates should have: Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models
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candidates should have Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models, such as
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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
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Accelerators Systems Department (SY) , is looking for an Applied Physicist with experience in Machine Learning and Data Science. The potential of Machine Learning is being explored thoroughly at CERN to improve
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position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers
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-grained activity detection using electromyography sensors as input. Supplemental input modalities will include inertial sensors (IMU). The research will focus on machine learning-based signal processing and
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physical validation. You will regularly present your work at international robotics and machine learning conferences. Your responsibilities will also include supervising bachelor and master students in