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Field
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. Within the Faculty of Science and Engineering, the 4-year PhD position on digital humanities and cultural heritage is available at the Department of Artificial Intelligence, Bernoulli Institute
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at
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the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science, Electrical and Space Engineering at Luleå
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The rapid development of Quantum Technologies 2.0 over the last two decades - especially in quantum communication, simulation and computation - has pushed this field into the mainstream of technological innovation, with the expectation of major economic impacts. While universal quantum computing...
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intense search is performed to find a correct solution of what is measured. By combining state-of-the-art laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project
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laser ultrasonic imaging techniques with advanced artificial intelligence, the aim of this project will be to shortcut the current search process in classify crystallographic orientation. This will be
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methods for the computational design of resilient and sustainable cities in an interdisciplinary manner. PHD THESIS “ARTIFICIAL INTELLIGENCE FOR COMPUTATIONAL URBAN PLANNING” CENTER FOR ENERGY During
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Requirements We are looking for an enthusiastic and talented PhD candidate with: - a (research) master's degree (or equivalent) in Artificial Intelligence or Computer Science (or a related discipline with
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PhD position in Artificial Intelligence for Cultural Heritage (V24.0281) « Back to the overview Job description Traditional handwritten text recognition (HTR) approaches ignore the multimodal
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methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical