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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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Science and Engineering of ETH Zurich (located in Basel). We work at the interface of protein engineering, molecular biophysics, and synthetic biology, developing new experimental and computational
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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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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the Aviation Transformation Programme (ATP-Airport). A consortium led by the Singapore University of Technology and Design (SUTD), with SEC, NTU, and SIT as partner institutions, will develop a compact robotic
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maternity cover. The Master of Advanced Studies ETH in Management, Technology, and Economics is a long-established continuing education programme at ETH Zurich, with a strong history of management education
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. Its mixed-methods research programme integrates macro-level theory with detailed, contextualised fieldwork across world regions, combines qualitative, quantitative, and computational approaches, and
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using clinical and sensor-based data. The position provides exposure to multimodal clinical and laboratory-based data acquisition, collaboration with computer scientists, engineers, clinicians, and
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Zurich, is seeking a highly motivated Doctoral Candidate. Our research focusses on ultracold neutral atoms and their application in quantum technologies, in particular, quantum computing. We are currently
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data. Perform cross-species (human–mouse) data integration to identify conserved and divergent cellular and molecular signatures of PAD. Apply and further develop computational tools for cell-cell