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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
centre with a focus on applied artificial intelligence (AI) in the maritime sector. The maritime industry is adopting AI technologies. The next decade will bring extensive digitization of operational data
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
15th October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate to conduct research on Artificial Intelligence
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position within the Human-Centred Artificial Intelligence (HCAI) Lab at NTNU Gjøvik. The position offers an opportunity to conduct mixed method research, applying human-centred design methods and Human
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://www.academictransfer.com/en/jobs/363733/phd-candidate-multimodal-and-ag… Requirements Specific Requirements Profile We welcome candidates with an MSc or equivalent expertise in artificial intelligence, medicine, computer or
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Robotics and Artificial Intelligence for Net Zero is a partnership between three of the UK’s leading universities (The University of Manchester , University of Glasgow and University of Oxford ). Robotics
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monitoring, instrumentation systems, data analytics, and artificial intelligence applications in rail transportation. Manage or oversee field deployments, laboratory testing, and instrumentation development
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transforming industries, including media, digital platforms, and artificial intelligence. Qualifications Admission to our doctoral program requires: Been (or soon to be) awarded a degree at second-cycle level
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under technological and institutional change, addressing how entrepreneurial actors and owners create and renew businesses in transforming industries, including media, digital platforms, and artificial
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on the aiD website aid-center.no About the Position Are you passionate about artificial intelligence, digital twins, and energy management systems in buildings? We are offering a fully funded, three-year PhD
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challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up