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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
qualitative methodologies, such as case studies and literature reviews, to gain insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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11th October 2026 Languages English English English Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in
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industries. Our research includes developing concepts for renewable-driven technologies and system solutions to decarbonize the chemical and energy industries, including carbon capture, utilization and storage
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data-driven services. While these developments create new opportunities, they also introduce cyber risks that may affect safety, security and operational continuity. Managing these risks requires
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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
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this position, you will develop and implement modern control strategies for a shipboard nuclear reactor, with a primary focus on the interface between reactor output and the ship's overall power demand. This work
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of contextual influences. Duties of the position Complete doctoral education leading to a PhD degree. Participation in and contribution to the development of the following research, network and education groups
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mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed