33 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships at NTNU Norwegian University of Science and Technology
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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). The main aim of this PhD project is to develop mathematical models relevant for processes at the anode of aluminium electrolysis cells, with emphasis on evolution of bubbles, including the so-called “anode
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for changes to your work duties after employment. The candidate will: Conduct research and development of antenna arrays suited for receiving reflected GNSS signals from the Earth’s surface on the feasibility
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”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work
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by the Research Council of Norway and the partners for the period 2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https
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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 for the position. Preferred
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world. You will find more information about working at NTNU and the application process here. About the position Studies of phase formation, evolution of microstructure and casting defects in high
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science, manufacturing processes, product and structural design, and lifecycle performance. A key outcome of FAST is the development of the FAST Virtual Lab, a digital framework combining experimental data
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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 for the position. Preferred selection
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. The position focuses on the development of bioinspired randomly featured materials with enhanced energy absorption. As a candidate, you will establish a hybrid numerical and data-driven bioinspired design