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of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include:Artificial intelligence
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please
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addition, students will take basic e-learning courses throughout the first year in fields such as Cognitive Neuroscience, Functional Neuroanatomy & Neurophysiology, Artificial Intelligence & Intelligent
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of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please submit your application indicating the reference number code no. 2025/MO 3 by December 31st
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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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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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