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reviewed throughout their lifecycle. You will also have the opportunity to engage with PhD students from the UKRI AI Centre for Doctoral Training in Safe Artificial Intelligence Systems (SAINTS) through
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sociotechnical contexts. You will also have the opportunity to engage with PhD students from the UKRI AI Centre for Doctoral Training in Safe Artificial Intelligence Systems (SAINTS) through joint research
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(digital twinning) and various artificial intelligence (AI) techniques (optimisation, operations research, probability and statistics, and economics), applied to an urban case study. The findings are in turn
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system with an intelligent dispenser, medication monitoring and data processing application. Focused on improving the therapeutic adherence of the elderly and people with limitations, it uses artificial
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artistic research. The position will be affiliated with MishMash , a national centre for artificial intelligence funded by the Research Council of Norway, in which the Conservatory of Music is a partner. The
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advanced artificial intelligence techniques to the development of innovative solutions will be highly valued. - The candidate should also demonstrate strong programming skills, as well as expertise in
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Responsibilities Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon
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, United States of America [map ] Subject Area: Computer Science / Artificial intelligence and machine learning Appl Deadline: 2025/11/21 04:59 AM UnitedKingdomTime (posted 2025/10/23 05:00 AM UnitedKingdomTime) Position
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Research Fellow will be appointed through the Princeton Laboratory for Artificial Intelligence (the AI Lab) and will receive a competitive salary, benefits, office and equipment, computer resources, and
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capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines