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Your position We're strengthening our team to deliver on our core mission: helping entrepreneurs turn ideas and discoveries into successful startups. We're looking for someone with both experience and enthusiasm for designing and running high-quality programs and for creating opportunities that...
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Program swisspeace is looking for a Program Officer – Dealing with the Past. The swisspeace Dealing with the Past (also referred to as transitional justice) team supports governmental and non-governmental
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to automatically process user manuals or process videos and extract relevant information. Further research will focus on advanced computer vision algorithms for defect detection. The research projects are usually
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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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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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Professor towards Associate Professor in AI-oriented Computational Biologywith applications to Image Analysisor to Computational Molecular Evolution Starting date : 2025-26 Place : Lausanne, Switzerland
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
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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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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job