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interoperability with BIM, GIS, and LCA systems through open standards. It also includes mechanisms for data collection, harmonization, cleaning, and quality control using artificial intelligence and machine
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: Private International Law Department: Philosophy of Law and Private International Law Position Number: DF03309 Area of knowledge: Computer Science and Artificial Intelligence Department: Computer Science
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. We offer Your job with impact: Become part of ETH Zurich, which not
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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learning, artificial intelligence, and related fields. Your research can be theoretical, applied or both. We offer independent positions within the groups of experienced supervisors, with opportunities
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stochastic methods. We particularly welcome research that advances computational methods, including the use of artificial intelligence and machine learning for discovery in applied mathematics and scientific
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methods. We particularly welcome research that advances computational methods, including the use of artificial intelligence and machine learning for discovery in applied mathematics and scientific computing
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team comprising experts in poultry science, behaviour and welfare, smart sensing, artificial intelligence, manufacturing engineering and industrial digitalisation. The posts offer an excellent
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and facilities in high-performance computing, machine learning and artificial intelligence, human-system interaction, network science, sensing, large-scale structural testing, materials manufacturing