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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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(Faculty of Engineering) invites applications for a 2-year postdoctoral position in software engineering and artificial intelligence, which will be vacant from 1 August 2025 or as soon as possible thereafter
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including
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Grant “Advancing Gravitational-Wave Astronomy Using Artificial Intelligence” led by Dr Greg Ashton. The successful candidate will join Royal Holloway’s Astronomy Group and conduct research activities
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systems for European space vehicles, and related processes and facilities. You will also maintain close connections with the world-leading research communities involved in artificial intelligence/machine
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games, and autonomy. They will join a project on enhancing safety and resiliency in autonomous vehicles that use Artificial Intelligence, including Large Language Models. Possible topics specific to AI
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currently looking for motivated and talented Postdoctoral researchers in the area of Artificial Intelligence for Cybersecurity and Quantum Cryptography. The successful candidates will primarily be working
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learning/artificial intelligence. The group has extensive experience in fundamental research in computer vision, machine learning, and artificial intelligence, as well as a history of translating such
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within the Academy for Teaching and Learning (ATL) by playing a key role in fostering Artificial Intelligence (AI) and emerging teaching and learning technology literacy among University faculty
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics