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Field
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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facial movements be converted into intelligible speech in real time? How can adaptive algorithms personalize themselves to the unique, atypical facial movements of the speech impaired? How can the
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advanced algorithms for solving complex optimization problems. You will work with real-world case studies to design future-proof supply chain networks for key agricultural products in vulnerable regions
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. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms for anomaly
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demonstrable experience with programming in Python and implementing statistical or machine learning algorithms. You have experience with software development practices such as testing and version control with
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lead to better-behaved inverse problems. These mathematical insights will subsequently be translated into computational algorithms for inversion, uncertainty quantification and experimental design. The
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databases, information retrieval, data mining, or algorithms is expected. Excellent written and oral English language skills are required. The appointment is to be made in accordance with NTNUs guidelines
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms for anomaly detection, risk analysis and autonomous navigation
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of artificial intelligence and consumer behavior. • Designing, developing, and evaluating artificial intelligence (AI)-based techniques and algorithms related to consumer behavior and manipulative online