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Field
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications. A strong background in theory (e.g
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beginning in fall 2026, preferably with an interest or focus on statistical foundations of data science, artificial intelligence and machine learning, theoretical statistics and probability, uncertainty
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other disciplines. The University of Florida has for the last several years been engaged in an ambitious artificial intelligence initiative (see https://ai.ufl.edu) for research and teaching, including
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Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/ . Application deadline 16 August 2026 at 23
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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. The candidate will work on several collaborative projects and funding proposals related to the research areas of focus at the HARP lab including cybersecurity, privacy, artificial intelligence, risk, trust, and