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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
6 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Please see Special
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chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo. The University
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this context, making use of advanced in-situ measurement techniques like radar technology. A post-doc will assist the work as well. The experimental validation study is accompanied by reactor engineering
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to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering challenges of maritime nuclear propulsion, creating an unusually dense and collaborative internal
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Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
1st 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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Jun-26 Location: New Brunswick, New Jersey Categories: Academic/Faculty Engineering Internal Number: 273192
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on ship design, naval control systems and in shipping management. Within the project we are aiming to recruit up to ten PhD students and one or two Post Docs to work in parallel across the core engineering