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of AI and computer science. At INSAIT, you will benefit from: World-class research opportunities in areas such as computer vision, foundational models, safe and secure AI, robotics, quantum computing
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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The Khammash Lab at ETH Zurich is seeking a motivated and skilled postdoctoral researcher to join our interdisciplinary team working at the interface of synthetic biology, control engineering, and
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of today's knowledge societies on both sides of the Atlantic: eco-fictions, campus novels and science fictions. Their themes include climate change, species extinction, and environmental pollution (eco
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve