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Field
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. Particular emphasis will be placed on understanding the relationships between catalyst structure, interfacial processes, local reaction environments, and electrochemical performance. The project aims
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) invites self-driven and skilled engineering candidates to apply for a competition-based admission to a doctoral study program in Mechanical Engineering under the PhD project ‘Rapid manufacturing of energy
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.) or similar. Strong background in structural concrete engineering. Affinity and/or experience with experimental research, the development of mechanical/robotic equipment, (robot) programming, and/or numerical
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https://www.ntnu.edu/studies/phiv, see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in marine hydrodynamics, aerodynamics, fluid mechanics
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-powered aircraft structures. Job description How do aerospace materials deform and fail at temperatures approaching 20 K (-250 °C)? And how does their behaviour change under dynamic loading? In this PhD
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obtained from NT Build 492 tests will be compared against model predictions to evaluate and refine the accuracy of the proposed modelling approach. The long-term performance of reinforced concrete structures
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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engineering disciplines, including structural mechanics, hydrodynamics and machine learning Strong programming skills in Python and/or MATLAB Experience with scientific computing, CFD/FEM software, potential
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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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into consistent object-level components and associate them with semantic categories and attributes (iii) To design mechanisms to refine incomplete or ambiguous scene regions into coherent structures (iv) To study