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machine learning and deep learning, where you must be creative and motivated in searching and reading relevant literature, and developing novel models to tackle complex real-world problems in healthcare
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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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mechanical experiments, control devices, acquire data and carry out post-processing operations. Other tasks comprise mechanical design (about 10%) and machining as well as electronics (about 10%). Examples
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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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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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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
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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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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