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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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Carolina 27708, United States of America [map ] Subject Areas: Environmental Health Biostatistics Epidemiology Appl Deadline: (posted 2025/07/23, listed until 2026/01/23) Position Description: Apply Position
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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environment of the institute. Opportunities Access to a unique and comprehensive dataset combining genomic and clinical information from a large cohort of cancer patients. Potential to establish an independent
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant, salary range £43,003 - £46,297 per annum. Further Information Full-time, Fixed-term contract to start ASAP
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-actuated large-scale manipulators (e.g., container cranes). For further information on Dr Antoine Cully’s research and projects, see www.imperial.ac.uk/adaptive-intelligent-robotics This project will be
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities