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models defining the molecular signatures underpinning child development up to adolescence. By combining multidimensional molecular data with integrative computational methods, the professorship's research
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to developing robust, real-time models for detecting and preventing impaired driving. Your work will be key in integrating novel in-vehicle sensing approaches and AI-driven interventions into next-generation
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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state-of-the-art scientific and engineering software for a wide range of applications, including geoscience, energy systems, and mathematical modeling. This role is ideal for an experienced software
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challenges. Our core research topics include but not limited to the following topics: Interpretability and explainability of AI models in clinical settings Fairness and bias mitigation in pediatric AI
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural
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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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walls reinforced with iron-based shape memory alloys (Fe-SMAs). The PhD project aims to develop a nonlinear finite element modeling framework to simulate the mechanical bond behavior between 3D printed
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contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance
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at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital