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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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stakeholders, and will contribute to the successful completion of the above-mentioned scope. List of the main tasks: Acquire a deep understanding of the scope of the project and of CERN's electrical network
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Skills and/or knowledge A highly motivated Software Engineer eager to learn and grow in a collaborative and supportive environment; Proficiency in Python programming language, with a solid understanding of
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pollution research Skills in a relevant programming language (e.g., R, Python) are essential, ideally including machine/deep learning and natural language processing Practical experience or good familiarity
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, etc) Experience with state estimation (sensor fusion, Kalman filters, etc) Experience with deep learning software (PyTorch, TensorFlow, etc) Experience with deep reinforcement learning algorithms and
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cameras applications in manual assembly offers a huge innovation potential for a wide range of applications. Deep learning-based smart cameras can avoid error costs in manual assembly. With the use of CAD
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are looking for candidates with an architectural engineering or engineering degree (MSc or PhD) and previous experience in lab management, scientific project management or similar. We especially look for
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%, Zurich, fixed-term 10.04.2024 | Topological design, deep learning, generative models, databases, Postdoctoral Position at the Chair of Circular Engineering for Architecture