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- NTNU - Norwegian University of Science and Technology
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management
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to explore how bridging adaptive planning and human-centred design can make climate change adaptation equitable and inclusive. You will be part of a vibrant research environment, specifically anchored
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above Academic publications and popular science dissemination Participate in the research group Critical Infrastructure Security and Resilience (https://www.ntnu.edu/iik/cisar ) Participate in
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society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful . We
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presentation skills in Norwegian Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently and in a structured way, set goals and make plans
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supervisor), Professor Ingunn Studsrød (co-supervisor), and Associate Professor Marina Snipsøyr Sletten (co-supervisor). Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/302556/phd
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can be adapted to fit other ongoing projects in the research group for cooperation and mutual benefit. See https://www.inn.no/english/research/our-research/forest-research/ for examples of projects
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program(https://www.ntnu.edu/studies/phiv ) Very good English skills (both
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the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful
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principles for BGC expression and to support iterative AI-guided design–build–test–learn cycles. The precise scope of the doctoral project will be refined according to the candidate’s qualifications, the BGCs