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structured way Collaborate and communicate effectively with academic and industry partners Show curiosity and strong motivation for the subject Assess data and evidence, compare perspectives and draw well
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mathematical, statistical, or computational tools. The candidate must demonstrate a strong interest in methodological development. Proven competence in probability, linear algebra, and statistical modelling is
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international venues and present the research at conferences, consortium meetings, and to interdisciplinary audiences. Participate in doctoral training, research-group activities, and collaboration with relevant
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To complete a doctoral degree (PhD), it is important that you are able to: Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Work
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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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work. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. About the application Your application
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
sector for accelerated and successful use of AI. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business
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degree (PhD), it is important that you are able to: Work independently Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get
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goals and make plans to achieve them. Present and discuss your research with other professionals. Get involved and contribute constructively with feedback. Work constructively under pressure or in the
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the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience