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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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100%, Zurich, fixed-term Prof. Dr. Sereina Riniker's group for Computational Chemistry at the Institute of Molecular Physical Science is interested in the development of methodology for classical
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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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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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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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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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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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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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The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user