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Python and/or C++. Experience with scientific software development is an advantage. An interest in quantum algorithms and the motivation to contribute to one of the world’s emerging research areas. Strong
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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of the internship: Machine Learning for recognition of planetary materials from multispectral datasets You are sought to contribute to the ongoing development of Machine Learning algorithms for recognition
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will develop cutting-edge operations research models and methods to redesign agricultural supply chains that can withstand extreme climate events and shifting agroecological conditions. Hosted by
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: Transparency. As part of this doctoral project, you will develop novel knowledge representation techniques, algorithms for human-in-the-loop optimization, and interactive tools that combine graphical and natural
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of the project. The Mathematical physics position will contribute to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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sovereignty, and cyber-electromagnetic resilience. The PhD researcher will primarily work within Tilburg University’s AI research infrastructure, focusing on algorithm development, model training, and
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infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical interconnects for next-generation AI compute clusters. Information
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, Directorate of Technology, Engineering and Quality. The Microelectronics Section provides functional support to ESA projects and carries out technological research and development (R&D) in the field