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100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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software tools, including applications in geoscience, optimization, and techno-economic modeling. Guide the team in modern software development practices (e.g., version control, documentation, testing
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(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
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that of CO2 and world-wide efforts are underway to develop and optimize equipment with environmentally friendly gas mixtures. The successful candidate will research (mostly experimental) on the arcing behavior
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assistants and researchers, you design, create and optimize the bridging course for Chemistry on Matura level, you instruct and support the local on-site teachers and you support the team of Professor Riek in
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quality. Monitor and optimize logistics and global distribution strategies. Quality & Regulatory Guide quality team in implementing a robust quality management systems in accordance with ISO 13485, FDA QSR
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), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet