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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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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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Your position Research position with clinical involvement as part of a Swiss National Science Foundation (SNSF) project “Learning-based 3D Infant Face and Head Model for Medical Applications”. You
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experiments workflows in areas such as simulation, classification, or anomaly detection using machine learning and deep learning methods, exploring, in particular the performance of Quantum Computing
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motivated Engineer with a training in machine learning techniques to join our Efficient Particle Accelerators project team. In this role, you'll join the Accelerator Systems Department (SY) , more
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revolutionizing image reconstruction and analysis with state-of-the-art machine learning techniques. Ultimately, we aim to provide personalized diagnosis and therapy for optimal patient outcomes. Job Summary We
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relating to computer vision, machine learning and data infrastructure management. Part (50% effort) of this position would also support our work on DeepLabCut - a popular animal pose estimation system https
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mission is to accelerate the adoption of data science and machine learning techniques within the ETH Domain academic disciplines, the Swiss academic community at large, and the industrial sector. In