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Field
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: • Image processing and sensor data analysis, ideally with HSI or other imaging technologies. • Machine learning and artificial intelligence, especially classification and segmentation tasks. • High
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C++); Proven interest in
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Are you passionate about generative artificial intelligence and ships? Join us in innovating the ship design process as we know it. Job description Introduction Generative AI is transforming how
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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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leveraged to develop functional demonstrators for diverse application sectors, such biomedical, space, and beyond. To achieve this, a neuro-symbolic artificial intelligence (AI) architecture that combines
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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) operations and, even more interestingly, for emerging analog computing applicable to neuromorphic artificial intelligence and in-memory computing techniques. Doctoral studies include both the manufacturing
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coordination. Previous experience in industry (energy, process industry) is an advantage. Scandinavian languages: considered a plus but not required. Specific Requirements PhD in Cybernetics, Control Engineering