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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration
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(emba X) team with administrative and operational tasks. Project background The emba X is an innovative, flagship joint programme between ETH Zurich and the University of St. Gallen. Our vision is to
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of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration is set for
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transfer through latent action diffusion (ICRA 2026), sample-efficient reinforcement learning and policy fine-tuning directly on the real robot , vision-language-action models for contact-rich tasks, and
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diffusion policies, cross-embodiment skill transfer through latent action diffusion (ICRA 2026), sample-efficient reinforcement learning and policy fine-tuning directly on the real robot , vision-language
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reliably even where vision falls short in unstructured, real-world settings. Our lab's goal is to build, model, and control robots in a fundamentally different way, so that they become more flexible
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on oncology-focused multimodal reasoning models that combine language, vision, biomedical knowledge, clinical context, and relevant patient-level data to produce reliable, auditable, and uncertainty-aware
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to the system scale. Project background The vision of our recently funded ERC Advanced Grant DISC3Lab is to devise a validated discovery loop for sustainable chemical processes, targeting the solvent-based
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scale. Project background The vision of our recently funded ERC Advanced Grant DISC3Lab is to devise a validated discovery loop for sustainable chemical processes, targeting the solvent-based recycling