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Research. The project is in close collaboration with the Computer Graphics Laboratory at ETH Zürich (Prof. Barbara Solenthaler PhD) who develops a fully virtual infant face and head model. The project will
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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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Management (IM ) group is looking for a highly motivated full-stack software engineer with great technical skills and a genuine interest in learning new things. You will join a young and international
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We offer SAR fellows are provided with a desk, access to IT and library infrastructure as well as a computer, if required. Associate fellows may agree to integrate fellows into their group part-time
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development, asset management, DevOps, and machine learning come together. You will design and implement a collection of advanced web applications aimed at optimising the asset and maintenance management
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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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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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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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our state-of-the-art behavior analysis pipelines based on the latest developments in artificial intelligence and machine learning. You will train and guide collaborators during experimental design and