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future. We aim to develop a strong team of faculty who are from all around the world and specialize in a variety of research interests (atmospheric sciences and artificial intelligence, socio-economics
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Information Retrieval. You will also have support from a Senior Company Supervisor. Candidates should have a degree of Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software
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that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love
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interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art
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Assistant Professor - Application of Artificial Intelligence (AI) in pharmaceutical sciences and pharmacy practice As part of a major expansion of its research and academic programs in
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100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical